%PDF-1.3 1 0 obj << /Kids [ 3 0 R 4 0 R 5 0 R 6 0 R 7 0 R 8 0 R 9 0 R 10 0 R 11 0 R ] /Type /Pages /Count 9 >> endobj 2 0 obj << /Title (Iterative Learning With Open\055Set Noisy Labels) /Producer (PyPDF2) /Author (Yisen Wang\054 Weiyang Liu\054 Xingjun Ma\054 James Bailey\054 Hongyuan Zha\054 Le Song\054 Shu\055Tao Xia) /Subject (2018 IEEE Conference on Computer Vision and Pattern Recognition) >> endobj 3 0 obj << /Parent 1 0 R /Rotate 0 /Contents 13 0 R /Resources << /XObject << /x8 14 0 R /R25 17 0 R /x6 19 0 R /R27 22 0 R /x12 24 0 R /R24 18 0 R /x10 27 0 R /R26 23 0 R >> /ExtGState << /s9 30 0 R /R12 33 0 R /s11 34 0 R /a0 << /CA 1 /ca 1 >> /s5 37 0 R /s7 40 0 R >> /Font << /F1 43 0 R /F2 44 0 R /R13 45 0 R /R15 49 0 R /R17 53 0 R /R21 56 0 R /R19 59 0 R >> /ProcSet [ /Text /ImageC /ImageB /PDF /ImageI ] >> /Group 63 0 R /MediaBox [ 0 0 612 792 ] /Annots [ 64 0 R 65 0 R 66 0 R ] /Type /Page >> endobj 4 0 obj << /Parent 1 0 R /Rotate 0 /Type /Page /Contents 67 0 R /Resources << /ExtGState << /R12 33 0 R >> /Font << /F2 68 0 R /R19 59 0 R /F1 69 0 R /R13 45 0 R /R15 49 0 R >> /ProcSet [ /ImageC /Text /PDF /ImageI /ImageB ] >> /MediaBox [ 0 0 612 792 ] /Annots [ 70 0 R 71 0 R 72 0 R 73 0 R 74 0 R 75 0 R 76 0 R 77 0 R 78 0 R 79 0 R 80 0 R 81 0 R 82 0 R 83 0 R 84 0 R 85 0 R 86 0 R 87 0 R 88 0 R 89 0 R 90 0 R 91 0 R 92 0 R 93 0 R ] >> endobj 5 0 obj << /Parent 1 0 R /Rotate 0 /Contents 94 0 R /Resources << /XObject << /R70 95 0 R /R69 96 0 R >> /ExtGState << /R12 33 0 R >> /Font << /R79 97 0 R /R73 100 0 R /F1 103 0 R /R71 104 0 R /R77 108 0 R /R75 112 0 R /F2 115 0 R /R13 45 0 R /R15 49 0 R /R83 116 0 R /R19 59 0 R /R81 120 0 R /R85 123 0 R >> /ProcSet [ /Text /ImageC /ImageB /PDF /ImageI ] >> /Group 63 0 R /MediaBox [ 0 0 612 792 ] /Annots [ 127 0 R 128 0 R 129 0 R 130 0 R 131 0 R ] /Type /Page >> endobj 6 0 obj << /Parent 1 0 R /Rotate 0 /Type /Page /Contents 132 0 R /Resources << /ExtGState << /R12 33 0 R >> /Font << /R79 97 0 R /R73 100 0 R /R71 104 0 R /R77 108 0 R /R75 112 0 R /F2 133 0 R /F1 134 0 R /R83 116 0 R /R81 120 0 R /R85 123 0 R /R109 135 0 R /R113 138 0 R /R103 142 0 R /R111 145 0 R /R105 148 0 R /R107 152 0 R /R13 45 0 R /R15 49 0 R /R19 59 0 R >> /ProcSet [ /ImageC /Text /PDF /ImageI /ImageB ] >> /MediaBox [ 0 0 612 792 ] /Annots [ 156 0 R 157 0 R 158 0 R 159 0 R 160 0 R 161 0 R 162 0 R 163 0 R 164 0 R 165 0 R ] >> endobj 7 0 obj << /Parent 1 0 R /Rotate 0 /Contents 166 0 R /Resources << /XObject << /R138 167 0 R /R139 168 0 R >> /ExtGState << /R12 33 0 R >> /Font << /R79 97 0 R /R73 100 0 R /F1 169 0 R /R71 104 0 R /F2 170 0 R /R13 45 0 R /R15 49 0 R /R136 171 0 R /R83 116 0 R /R19 59 0 R /R85 123 0 R >> /ProcSet [ /Text /ImageC /ImageB /PDF /ImageI ] >> /Group 63 0 R /MediaBox [ 0 0 612 792 ] /Annots [ 174 0 R 175 0 R 176 0 R 177 0 R 178 0 R 179 0 R 180 0 R 181 0 R 182 0 R 183 0 R 184 0 R 185 0 R 186 0 R 187 0 R 188 0 R 189 0 R ] /Type /Page >> endobj 8 0 obj << /Parent 1 0 R /Rotate 0 /Contents 190 0 R /Resources << /XObject << /R156 191 0 R /R157 192 0 R /R150 195 0 R /R151 196 0 R >> /ExtGState << /R12 33 0 R >> /Font << /R154 197 0 R /R79 97 0 R /R73 100 0 R /R103 142 0 R /R71 104 0 R /F1 201 0 R /F2 202 0 R /R13 45 0 R /R15 49 0 R /R19 59 0 R >> /ProcSet [ /Text /ImageC /ImageB /PDF /ImageI ] /ColorSpace << /R153 193 0 R >> >> /Group 63 0 R /MediaBox [ 0 0 612 792 ] /Annots [ 203 0 R 204 0 R 205 0 R 206 0 R ] /Type /Page >> endobj 9 0 obj << /Parent 1 0 R /Rotate 0 /Contents 207 0 R /Resources << /XObject << /R150 195 0 R /R169 208 0 R /R168 209 0 R /R170 210 0 R /R171 211 0 R /R172 212 0 R >> /ExtGState << /R12 33 0 R >> /Font << /R79 97 0 R /F1 213 0 R /R73 100 0 R /R103 142 0 R /R71 104 0 R /R75 112 0 R /F2 214 0 R /R13 45 0 R /R15 49 0 R /R111 145 0 R /R19 59 0 R /R81 120 0 R /R113 138 0 R /R85 123 0 R >> /ProcSet [ /Text /ImageC /ImageB /PDF /ImageI ] >> /Group 63 0 R /MediaBox [ 0 0 612 792 ] /Annots [ 215 0 R 216 0 R 217 0 R 218 0 R ] /Type /Page >> endobj 10 0 obj << /Parent 1 0 R /Rotate 0 /Type /Page /Contents 219 0 R /Resources << /ExtGState << /R12 33 0 R >> /Font << /F2 220 0 R /R13 45 0 R /R15 49 0 R /R73 100 0 R /R21 56 0 R /R19 59 0 R /F1 221 0 R /R71 104 0 R /R85 123 0 R >> /ProcSet [ /ImageC /Text /PDF /ImageI /ImageB ] >> /MediaBox [ 0 0 612 792 ] /Annots [ 222 0 R 223 0 R 224 0 R 225 0 R 226 0 R 227 0 R 228 0 R 229 0 R 230 0 R 231 0 R 232 0 R 233 0 R 234 0 R 235 0 R ] >> endobj 11 0 obj << /Parent 1 0 R /Rotate 0 /Type /Page /Contents 236 0 R /Resources << /ExtGState << /R12 33 0 R >> /Font << /F2 237 0 R /F1 238 0 R /R13 45 0 R /R17 53 0 R /R19 59 0 R /R15 49 0 R >> /ProcSet [ /ImageC /Text /PDF /ImageI /ImageB ] >> /MediaBox [ 0 0 612 792 ] /Annots [ 239 0 R 240 0 R ] >> endobj 12 0 obj << /Type /Catalog /Pages 1 0 R >> endobj 13 0 obj << /Length 15937 >> stream q q q 0.1 0 0 0.1 0 0 cm /R12 gs 0 g q 10 0 0 10 0 0 cm BT /R13 14.3462 Tf 1 0 0 1 155.801 675.964 Tm [ (Iterati) 9.99795 (v) 9.99625 (e) -250 (Lear) 14.9893 (ning) -249.993 (with) -250.013 (Open\055set) -249.99 (Noisy) -250.01 (Labels) ] TJ /R15 11.9552 Tf -99.7113 -37.1609 Td [ (Y) 54.9915 (isen) -249.984 (W) 80 (ang) ] TJ /R15 7.9701 Tf 57.8141 4.33906 Td [ (1\054) -249.978 (2) ] TJ /R15 11.9552 Tf 18.4312 -4.33906 Td [ (W) 80 (eiyang) -249.997 (Liu) ] TJ /R15 7.9701 Tf 61.7957 4.33906 Td (2) Tj /R15 11.9552 Tf 10.4613 -4.33906 Td [ (Xingjun) -250.016 (Ma) ] TJ /R15 7.9701 Tf 58.1129 4.33906 Td (3) Tj /R15 11.9552 Tf 10.4609 -4.33906 Td [ (James) -250.01 (Baile) 14.9913 (y) ] TJ /R15 7.9701 Tf 63.2418 4.33906 Td (3) Tj /R15 11.9552 Tf 10.4613 -4.33906 Td [ (Hongyuan) -249.997 (Zha) ] TJ /R15 7.9701 Tf 71.384 4.33906 Td (2) Tj /R15 11.9552 Tf 10.4609 -4.33906 Td [ (Le) -250.002 (Song) ] TJ /R15 7.9701 Tf 40.1809 4.33906 Td (2) Tj /R15 11.9552 Tf 10.4609 -4.33906 Td [ (Shu\055T) 79.9943 (ao) -250.01 (Xia) ] TJ /R15 7.9701 Tf 60.4691 4.33906 Td (1) Tj -459.349 -13.7492 Td (1) Tj /R15 11.9552 Tf 4.48281 -4.33906 Td [ (Tsinghua) -249.99 (Uni) 24.9946 (v) 14.9862 (ersity) ] TJ /R15 7.9701 Tf 115.415 4.33906 Td (2) Tj /R15 11.9552 Tf 4.48281 -4.33906 Td [ (Geor) 18.0034 (gia) -250 (Institute) -250.016 (of) -250.014 (T) 70.0164 (echnology) ] TJ /R15 7.9701 Tf 170.611 4.33906 Td (3) Tj /R15 11.9552 Tf 4.4832 -4.33906 Td [ (The) -250.014 (Uni) 24.9957 (v) 14.9851 (ersity) -249.989 (of) -250.014 (Melbourne) ] TJ /R17 8.9664 Tf -281.496 -13.25 Td [ (wangys14\100mails\056tsinghua\056edu\056cn\054) -600.021 (wyliu\100gatech\056edu\054) -600 (xiast\100sz\056tsinghua\056edu\056cn) ] TJ /R13 11.9552 Tf 47.5398 -40.8367 Td (Abstract) Tj /R19 9.9626 Tf -83.9277 -24.1703 Td [ (Lar) 37 (g) 10.0032 (e\055scale) -267.992 (datasets) -267.017 (possessing) -267.986 (clean) -267.987 (label) -268.014 (annotations) ] TJ -11.9551 -11.3578 Td [ (ar) 36.9852 (e) -498 (crucial) -496.993 (for) -498.016 (tr) 14.9914 (aining) -496.981 (Con) 40.0166 (volutional) -497.986 (Neur) 14.9975 (al) -497.983 (Networks) ] TJ 11.357 TL T* [ (\050CNNs\051\056) -713.996 (Howe) 14.995 (ver) 110.999 (\054) -418.986 (labeling) -384.997 (lar) 36.9926 (g) 10.0032 (e\055scale) -384.012 (data) -385.012 (can) -384.99 (be) -384.995 (very) ] TJ T* [ (costly) -310.99 (and) -310.992 (err) 44.9802 (or) 20.0077 (\055pr) 44.9802 (one) 10.0045 (\054) -327.002 (and) -310.992 (e) 15.0122 (ven) -311.011 (high\055quality) -312.014 (datase) 1.00473 (ts) -312.014 (ar) 36.9865 (e) ] TJ 11.3578 TL T* [ (lik) 10.0081 (ely) -390.015 (to) -388.982 (contain) -389.983 (noisy) -389.995 (\050incorr) 36.9963 (ect\051) -390.018 (labels\056) -728.986 (Existing) -390.016 (works) ] TJ 11.357 TL T* [ (usually) -299.997 (employ) -300.998 (a) -299.984 (closed\055set) -300.008 (assumption\054) -312.989 (wher) 36.9938 (eby) -299.992 (the) -301.001 (sam\055) ] TJ 11.3582 TL T* [ (ples) -308.013 (associated) -307.009 (with) -307.994 (noisy) -308.009 (labels) -308.001 (possess) -307.017 (a) -307.983 (true) -308.012 (class) -308.007 (con\055) ] TJ 11.357 TL T* [ (tained) -292.005 (within) -291.984 (the) -291.983 (set) -293.001 (of) -292.017 (known) -292.005 (classes) -292.008 (in) -292.017 (the) -293.003 (tr) 14.9901 (aining) -291.995 (data\056) ] TJ T* [ (Howe) 14.9944 (ver) 110.999 (\054) -225.019 (suc) 14.9852 (h) -219.017 (an) -219.012 (assumption) -219.008 (is) -219.009 (too) -219.005 (r) 37.0196 (estrictive) -218.998 (for) -219.005 (many) -219.015 (ap\055) ] TJ 11.3578 TL T* [ (plications\054) -223.008 (since) -215.993 (samples) -216.014 (associated) -216.004 (with) -216.011 (noisy) -215.984 (labels) -216.015 (might) ] TJ 11.357 TL T* [ (in) -225.989 (fact) -225.006 (possess) -226.01 (a) -225.997 (true) -225.988 (class) -225.002 (that) -226.016 (is) -225.988 (not) -225.984 (pr) 36.9865 (esent) -225.011 (in) -225.989 (the) -225.994 (tr) 14.9901 (aining) ] TJ T* [ (data\056) -290.986 (W) 91.9865 (e) -194.991 (r) 37.0196 (efer) -194.002 (to) -195.014 (this) -193.981 (mor) 36.9877 (e) -194.992 (comple) 20.0077 (x) -194.012 (scenario) -195.002 (as) -193.995 (the) ] TJ /R21 9.9626 Tf 201.939 0 Td (open\055set) Tj -201.939 -11.3578 Td [ (noisy) -302 (label) ] TJ /R19 9.9626 Tf 47.523 0 Td [ (pr) 44.9839 (oblem) -302.012 (and) -300.994 (show) -301.999 (that) -300.984 (it) -302.013 (is) -300.996 (nontrivial) -302.016 (in) -302.016 (or) 36.9865 (der) ] TJ -47.523 -11.357 Td [ (to) -294.017 (mak) 10.002 (e) -293.014 (accur) 14.9852 (ate) -293.983 (pr) 36.9852 (edictions\056) -440.007 (T) 92 (o) -293.985 (addr) 36.9963 (ess) -293.983 (this) -292.985 (pr) 44.9851 (oblem\054) -304.991 (we) ] TJ 11.3582 TL T* [ (pr) 44.9839 (opose) -356.983 (a) -356.014 (no) 10.0081 (vel) -357 (iter) 14.9938 (ative) -356.008 (learning) -357.003 (fr) 14.9914 (ame) 14.9803 (work) -356 (for) -356.982 (tr) 14.9901 (aining) ] TJ 11.357 TL T* [ (CNNs) -215.016 (on) -213.994 (datasets) -214.986 (with) -214.99 (open\055set) -213.988 (noisy) -215.005 (labels\056) -298 (Our) -215.008 (appr) 44.9949 (oac) 14.9828 (h) ] TJ T* [ (detects) -235.007 (noisy) -233.981 (labels) -234.994 (and) -233.985 (learns) -234.995 (deep) -233.999 (discriminative) -235.005 (featur) 37.0012 (es) ] TJ 11.3578 TL T* [ (in) -314.994 (an) -314.996 (iter) 14.9938 (ative) -314.995 (fashion\056) -503.991 (T) 92 (o) -315.001 <62656e650274> -314.993 (fr) 44.9864 (om) -314.999 (the) -314.999 (noisy) -314.987 (label) -314.987 (de\055) ] TJ 11.357 TL T* [ (tection\054) -385.009 (we) -358.009 (design) -357.994 (a) -358.014 (Siamese) -358.002 (network) -357.991 (to) -358.006 (encour) 14.9901 (a) 10.0032 (g) 10.0032 (e) -357.984 (clean) ] TJ T* [ (labels) -220.996 (and) -221.987 (noisy) -221.004 (labels) -220.996 (to) -221.01 (be) -222 (dissimilar) 110.983 (\056) -299.987 (A) -221.017 (r) 37.0183 (e) 15.0122 (weighting) -221.99 (mod\055) ] TJ 11.3578 TL T* [ (ule) -199.998 (is) -201.012 (also) -199.983 (applied) -200.014 (to) -201.013 (simultaneously) -199.985 (emphasize) -200.016 (the) -201.018 (learning) ] TJ 11.357 TL T* [ (fr) 44.9864 (om) -281.984 (clean) -281.984 (labels) -280.986 (and) -282.017 (r) 37.0196 (educe) -281.995 (the) -281.985 (ef) 18 (fect) -281.007 (caused) -282.019 (by) -281.992 (noisy) -282.012 (la\055) ] TJ 11.3582 TL T* [ (bels\056) -449.987 (Experiments) -295.998 (on) -297 (CIF) 115.014 (AR\05510\054) -308.01 (Ima) 10.0032 (g) 10.0032 (eNet) -296.017 (and) -296.995 (r) 37.0183 (eal\055world) ] TJ 11.357 TL T* [ (noisy) -258.016 (\050web\055sear) 36.9951 (c) 15.0122 (h\051) -259.014 (datasets) -257.999 (demonstr) 15.011 (ate) -257.989 (that) -258.011 (our) -258.998 (pr) 44.9851 (oposed) ] TJ T* [ (model) -372 (can) -372.011 (r) 45.0182 (ob) 20.0065 (ustly) -371.996 (tr) 14.9914 (ain) -372 (CNNs) -372.01 (in) -372.004 (the) -372.009 (pr) 36.9865 (esence) -371.984 (of) -372.004 (a) -372.011 (high) ] TJ 11.3578 TL T* [ (pr) 44.9839 (oportion) -249.991 (of) -249.985 (open\055set) -249.982 (as) -249.986 (well) -250.013 (as) -249.986 (closed\055set) -250.017 (noisy) -250.017 (labels\056) ] TJ /R13 11.9552 Tf 37.7422 TL T* [ (1\056) -249.99 (Intr) 18.0146 (oduction) ] TJ /R15 9.9626 Tf 11.9551 -19.1887 Td [ (The) -283.007 (success) -283.002 (of) -283.01 (Con) 40.0166 (v) 20.0016 (olutional) -283.007 (Neural) -283.989 (Netw) 10.0057 (orks) -283 (\050CNNs\051) ] TJ -11.9551 -11.357 Td (\133) Tj ET Q 0 1 0 rg q 10 0 0 10 0 0 cm BT /R15 9.9626 Tf 1 0 0 1 53.4297 194.574 Tm (20) Tj ET Q 0 g q 10 0 0 10 0 0 cm BT /R15 9.9626 Tf 1 0 0 1 63.3922 194.574 Tm [ (\135) -382.998 (is) -382.981 (highly) -383 (tied) -383.019 (to) -382.983 (the) -382.988 (a) 19.9918 (v) 24.9811 (ailability) -382.99 (of) -382.992 (lar) 17.997 (ge\055scale) -382.997 (anno\055) ] TJ -13.2801 -11.3582 Td [ (tated) -378.985 (datasets\054) ] TJ /R19 9.9626 Tf 61.282 0 Td [ (e) 15.0122 (\056g) ] TJ /R15 9.9626 Tf 11.7457 0 Td [ (\056\054) -412.005 (ImageNet) -378.985 (\133) ] TJ ET Q 0 1 0 rg q 10 0 0 10 0 0 cm BT /R15 9.9626 Tf 1 0 0 1 178.602 183.216 Tm (10) Tj ET Q 0 g q 10 0 0 10 0 0 cm BT /R15 9.9626 Tf 1 0 0 1 188.564 183.216 Tm [ (\135\056) -698.983 (Ho) 24.9836 (we) 25.013 (v) 14.9828 (er) 39.986 (\054) -412.007 (lar) 17.997 (ge\055s) 0.98268 (cale) ] TJ -138.452 -11.357 Td [ (datasets) -296.011 (with) -294.988 (high\055quality) -296.017 (label) -296.018 (annotations) -295.005 (are) -296.002 (not) -296.012 (al) 10 (w) 10 (ays) ] TJ 11.357 TL T* [ (a) 19.9924 (v) 24.9811 (ailable) -280.998 (for) -279.994 (a) -281.017 (ne) 25.0167 (w) -281.009 (domain\054) -287.997 (due) -281.006 (to) -281 (the) -279.985 <7369676e690263616e74> -281.002 (time) -280.99 (and) ] TJ 11.3578 TL T* [ (ef) 25.0081 (fort) -273.988 (it) -274.019 (tak) 10.0063 (es) -273.992 (for) -275.014 (human) -274.009 (e) 15.0122 (xperts\056) -381.996 (There) -273.996 (e) 15.0122 (xist) -274.988 (se) 25.0179 (v) 14.9828 (eral) -273.998 (cheap) ] TJ 11.357 TL T* [ (b) 20.0016 (ut) -241.987 (imperfect) -241.987 (surrog) 4.99426 (ates) -241.994 (for) -242.98 (collecting) -242.007 (labeled) -241.987 (data\054) -243.994 (such) -241.987 (as) ] TJ T* [ (cro) 25.013 (wd\055sourcing) -367.006 (from) -366.987 (non\055e) 14.9852 (xperts) -366.982 (or) -366.996 (annotations) -368.012 (from) -366.988 (the) ] TJ 11.3578 TL T* [ (web\054) -400.986 (especially) -371.015 (for) -370.998 (images) -369.995 (\050) ] TJ /R19 9.9626 Tf 117.163 0 Td [ (e) 15.0122 (\056g) ] TJ /R15 9.9626 Tf 11.7461 0 Td [ (\056\054) -400.987 (e) 15.0122 (xtracting) -371.012 (tags) -370.982 (from) -370.007 (the) ] TJ -128.909 -11.357 Td [ (surrounding) -327.982 (te) 14.9803 (xt) -328.011 (or) -327.983 (query) -328.016 (k) 10.0032 (e) 15.0122 (yw) 10.0057 (ords) -328.992 (from) -328.014 (search) -327.989 (engines\051\056) ] TJ T* [ (These) -237.013 (approaches) -237.993 (pro) 14.9852 (vide) -237.007 (the) -237.992 (possibility) -236.99 (to) -237.987 (scale) -237.019 (the) -237.992 (acqui\055) ] TJ 11.357 TL T* [ (sition) -359.981 (of) -360.997 (training) -359.989 (labels\054) -387.994 (b) 20.0016 (ut) -360.986 (in) 40.0056 (v) 24.9811 (ariably) -360.006 (result) -360.981 (in) -360.006 (the) -360.991 (intro\055) ] TJ ET Q q 2008.14 0 0 1195.53 3265.8 4613.77 cm /R25 Do Q q 10 0 0 10 0 0 cm BT /R15 8.9664 Tf 1 0 0 1 308.862 450.966 Tm [ (Figure) -249.984 (1\056) -250 (An) -249.989 (illustration) -249.997 (of) -249.992 (closed\055set) -249.978 (vs) -250.017 (open\055set) -250.017 (noisy) -250.011 (labels\056) ] TJ ET Q q 2126.19 0 0 822.65 3206.75 3575.07 cm /R27 Do Q q 10 0 0 10 0 0 cm BT /R15 8.9664 Tf 1 0 0 1 308.862 347.096 Tm [ (Figure) -218.007 (2\056) -217.98 (An) -218.012 (o) 14.9865 (v) 14.9865 (ervie) 25.0066 (w) -217.01 (of) -218.015 (our) -218.018 (frame) 24.9957 (w) 10.0092 (ork) -218.018 (that) -218.001 (iterati) 24.9902 (v) 14.9865 (ely) -218.012 (learns) -216.994 (dis\055) ] TJ 10.4109 TL T* [ (criminati) 24.9984 (v) 14.9865 (e) -285.982 (representations) -286.99 (on) -286.007 (a) -286.982 (\223jasmine\055cat\224) -286.007 (dataset) -286.998 (with) -286.002 (open\055) ] TJ T* [ (set) -241.009 (noisy) -239.988 (labels\056) -307 (It) -241.009 (not) -239.994 (only) -240.996 (learns) -240.998 (a) -240.018 (proper) -241.009 (decision) -241.02 (boundary) -239.991 (\050the) ] TJ T* [ (black) -344.981 (line) -344.995 (separating) -346.002 (jasmine) -345 (and) -345.016 (cat\051) -344.995 (b) 19.9965 (ut) -345.986 (also) -345 (pulls) -345.016 (a) 15.0137 (w) 10.0092 (ay) -345.016 (noisy) ] TJ T* [ (samples) -249.989 (\050green) -250 (and) -249.997 (purple\051) -250.017 (from) -250 (clean) -249.984 (samples) -249.989 (\050blue) -250 (and) -250 (red\051\056) ] TJ /R15 9.9626 Tf 29.127 TL T* [ (duction) -359.989 (of) -360.016 (some) -359.999 (noisy) -361.008 (\050i) 0.98513 (ncorrect\051) -361.003 (labels\056) -639.991 (Moreo) 14.9926 (v) 14.9828 (er) 39.9835 (\054) -388.009 (e) 25.0105 (v) 14.9828 (en) ] TJ 11.3582 TL T* [ (high\055quality) -253.985 (datasets) -254.997 (are) -254.009 (lik) 10.0179 (ely) -253.987 (to) -253.987 (ha) 19.9967 (v) 14.9828 (e) -254.982 (noisy) -254.007 (labels\054) -254.997 (as) -255.016 (data) ] TJ 11.3566 TL T* [ (labeling) -246.01 (can) -246 (be) -245.998 (subjecti) 25.0056 (v) 14.9828 (e) -246.983 (and) -245.993 (error) 19.9869 (\055prone\056) -307.983 (The) -247.013 (presence) -246.003 (of) ] TJ T* [ (noisy) -288.981 (labels) -290.013 (for) -289.013 (training) -288.981 (samples) -290 (may) -288.996 (adv) 14.9828 (ersely) -289.006 (af) 25.0056 (fect) -289.996 (rep\055) ] TJ 11.3582 TL T* [ (resentation) -244.011 (learning) -243.981 (and) -243.994 (deteriorate) -245.008 (prediction) -244.008 (performance) ] TJ 11.357 TL (\133) ' ET Q 0 1 0 rg q 10 0 0 10 0 0 cm BT /R15 9.9626 Tf 1 0 0 1 312.18 219.538 Tm (27) Tj ET Q 0 g q 10 0 0 10 0 0 cm BT /R15 9.9626 Tf 1 0 0 1 322.142 219.538 Tm [ (\135\056) -360.999 (T) 35.0187 (raining) -266.992 (accurate) -266.987 (CNNs) -266.99 (ag) 5.01877 (ainst) -268.014 (nois) 1.00473 (y) -267.99 (labels) -267 (is) -267 (there\055) ] TJ -13.2801 -11.357 Td [ (fore) -250.002 (of) -249.995 (great) -249.997 (practical) -249.993 (importance\056) ] TJ 11.9547 -13.607 Td [ (W) 79.9866 (e) -589.005 (will) -587.995 (refer) -589.019 (to) -588.987 (samples) -589.01 (whose) -588.005 (classes) -588.985 (are) -589.01 (misla\055) ] TJ -11.9547 -11.3578 Td [ (beled\057incorrectly) -462.009 (annotated) -463.001 (as) ] TJ /R19 9.9626 Tf 128.356 0 Td [ (noisy) -461.982 (samples) ] TJ /R15 9.9626 Tf 62.3422 0 Td [ (and) -461.996 (denote) ] TJ -190.698 -11.357 Td [ (their) -302.996 (labels) -302.991 (as) ] TJ /R19 9.9626 Tf 58.8629 0 Td [ (noisy) -302.989 (labels) ] TJ /R15 9.9626 Tf 47.852 0 Td [ (\056) -469.015 (Such) -304.008 (noisy) -303.018 (labels) -302.994 (can) -303.013 (f) 9.99343 (all) -302.998 (into) ] TJ -106.715 -11.357 Td [ (tw) 10.0081 (o) -420.984 (types\054) ] TJ /R19 9.9626 Tf 47.1738 0 Td (closed\055set) Tj /R15 9.9626 Tf 44.0313 0 Td (and) Tj /R19 9.9626 Tf 18.5777 0 Td (open\055set) Tj /R15 9.9626 Tf 33.7531 0 Td [ (\056) -822.015 (More) -421.018 <73706563690263616c6c79> 65.0039 (\054) -463.016 (a) ] TJ /R19 9.9626 Tf -143.536 -11.3578 Td [ (closed\055set) -193.987 (noisy) -193.987 (label) ] TJ /R15 9.9626 Tf 86.5898 0 Td [ (occurs) -194.002 (when) -193.997 (a) -194.012 (noisy) -192.997 (sample) -193.987 (possesses) ] TJ -86.5898 -11.357 Td [ (a) -228.986 (true) -229.016 (class) -229.011 (that) -229.006 (is) -229.008 (contained) -229.001 (within) -228.986 (the) -229.991 (set) -229.011 (of) -229.021 (kno) 24.9909 (wn) -229.011 (classes) ] TJ 11.357 TL T* [ (in) -306.015 (the) -306.02 (training) -305.998 (data\056) -477.994 (While\054) -320.005 (an) ] TJ /R19 9.9626 Tf 126.394 0 Td [ (open\055set) -306.013 (noisy) -306.008 (label) ] TJ /R15 9.9626 Tf 83.8539 0 Td (occurs) Tj -210.248 -11.3582 Td [ (when) -281.985 (a) -283.017 (noisy) -282.002 (sample) -282.009 (possesses) -283.021 (a) -281.997 (true) -281.987 (class) -283.002 (that) -282.017 (is) -282.017 (not) -282.992 (con\055) ] TJ T* [ (tained) -304.993 (within) -303.993 (the) -305 (set) -304.998 (of) -303.986 (kno) 24.9909 (wn) -304.998 (classes) -304.993 (in) -304.018 (the) -304.998 (training) -305.018 (data\056) ] TJ 11.3578 TL T* [ (The) -249.993 (former) -249.015 (scenario) -249.99 (has) -249.01 (been) -249.997 (studied) -248.988 (in) -249.988 (pre) 25.0105 (vious) -248.988 (w) 10.0032 (ork\054) -249.988 (b) 20.0016 (ut) ] TJ 11.357 TL T* [ (the) -354.012 (latter) -354.01 (one) -354.995 (is) -354.007 (a) -353.985 (ne) 25.0154 (w) -354.017 (direction) -355.014 (we) -353.98 (e) 15.0122 (xplore) -354.005 (in) -354.01 (this) -355.014 (paper) 55.0104 (\056) ] TJ -13.741 -29.8879 Td (1) Tj ET Q Q Q q q 1 1 1 rg /a0 gs 48.406 786.422 515.188 -52.699 re f q /s5 gs /x6 Do Q q /s7 gs /x8 Do Q q /s9 gs /x10 Do Q q /s11 gs /x12 Do Q Q Q Q q 1 0 0 1 0 0 cm BT /F1 12 Tf 14.4 TL ET 1 1 1 rg n 270 47 72 14 re f* 0.5 0.5 0.5 rg BT /F2 9 Tf 10.8 TL ET BT 1 0 0 1 297 50 Tm (8688) Tj T* ET Q endstream endobj 14 0 obj << /Filter /FlateDecode /Resources << /ExtGState << /a0 << /CA 1 /ca 1 >> >> /XObject << /x18 15 0 R >> >> /Length 28 /Group << /Type /Group /S /Transparency /CS /DeviceRGB /I true >> /BBox [ 78 746 96 765 ] /Type /XObject /Subtype /Form >> stream x+O4PH/VЯ0Pp 0 endstream endobj 15 0 obj << /Filter /FlateDecode /Resources 16 0 R /Length 107 /Type /XObject /BBox [ 78 746 96 765 ] /Subtype /Form >> stream xe AC̬wʠ =p,?]%+H-
Jc "82w8VSnGW;"
endstream
endobj
16 0 obj
<<
/ExtGState <<
/a0 <<
/CA 1
/ca 1
>>
>>
>>
endobj
17 0 obj
<<
/SMask 18 0 R
/Filter /DCTDecode
/BitsPerComponent 8
/Height 409
/Length 40248
/ColorSpace /DeviceRGB
/Width 687
/Subtype /Image
>>
stream
Adobe d C
$, !$4.763.22:ASF:=N>22HbINVX]^]8EfmeZlS[]Y C**Y;2;YYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYY "
} !1AQa"q2#BR$3br
%&'()*456789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz
w !1AQaq"2B #3Rbr
$4%&'()*56789:CDEFGHIJSTUVWXYZcdefghijstuvwxyz ? Km`ifWF
'T / J7
_ I@ E )4A _O e H4_ G$/ OQ@ E )4A _O e H4_ G$/ OQ@ E )4A _O e H4_ G$/ OQ@ E )4A _O e H4_ G$/ OQ@ E )4A _O e H4_ G$/ OQ@ E )4A _O e H4_ G$/ OQ@ E )4A _O e H4_ G$/ OQ@ E )4A _O e H4_ G$/ OQ@ E )4A _O e H4_ G$/ OQ@ E )4A _O e H4_ G$/ OQ@ E )4A _O e H4_ G$/ OQ@ E )4A _O e H4_ G$/ OQ@ E )4A _O e H4_ G$/ OQ@ E )4A _O e H4_ G$/ OQ@ E )4A _O e H4_ G$/ OQ@ E )4A _O e H4_ G$/ OQ@ E )4A _O e H4_ G$/ OQ@ E )4A _O e H4_ G$/ OQ@ E )4A _O e H4_ G$/ OQ@ E )4A _O e H4_ G$/ OQ@ E )4A _O eg>ֺ\&N?L:P$/ OtetarSWпC-ed\m#']m exAK _V=))|G o Q\o4\o4\o4\o4\o4\o4\o4\o4\o4\o4\o4\o4\o4\o4U4i4س䓓պ ( ( ( ( ( ( ( ( ( ( ( ( ( ( f -l4ͅ ycW tj / ǸhA9yQAWM:jp]\Mꎗy%ܙ*wvޱX
kC~{zRMoI RM*+GBRzhΚ/rI#-ٶI7agݏlivڅKX|LH; hn] svMZGrwÆFW$QH`=Ŋ.KKh
oo?FnڿVmTZAfmsqYבaa}F`2i-lb4qۙFՊ9`0gzъOf :
(
(
(
(
(n"z~ڀ&w-]?z{z$Եo
u үVڶ4*LFW;M eE^6'٭tu{$$TE ¥3