ICCV 2021 Open Access Repository

Neural Architectures: Past, Present and Future

Convolutional Filter Approximation Using Fractional Calculus: Julio Zamora,

Jesus A. Cruz Vargas,

Anthony Rhodes,

Lama Nachman,

Narayan Sundararajan; [pdf]
[bibtex]
@InProceedings{Zamora_2021_ICCV, author = {Zamora, Julio and Vargas, Jesus A. Cruz and Rhodes, Anthony and Nachman, Lama and Sundararajan, Narayan}, title = {Convolutional Filter Approximation Using Fractional Calculus}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {383-392} }
Russian Doll Network: Learning Nested Networks for Sample-Adaptive Dynamic Inference: Borui Jiang,

Yadong Mu; [pdf]
[bibtex]
@InProceedings{Jiang_2021_ICCV, author = {Jiang, Borui and Mu, Yadong}, title = {Russian Doll Network: Learning Nested Networks for Sample-Adaptive Dynamic Inference}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {336-344} }
Tiled Squeeze-and-Excite: Channel Attention With Local Spatial Context: Niv Vosco,

Alon Shenkler,

Mark Grobman; [pdf] [supp]
[bibtex]
@InProceedings{Vosco_2021_ICCV, author = {Vosco, Niv and Shenkler, Alon and Grobman, Mark}, title = {Tiled Squeeze-and-Excite: Channel Attention With Local Spatial Context}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {345-353} }
SCARLET-NAS: Bridging the Gap Between Stability and Scalability in Weight-Sharing Neural Architecture Search: Xiangxiang Chu,

Bo Zhang,

Qingyuan Li,

Ruijun Xu,

Xudong Li; [pdf] [supp]
[bibtex]
@InProceedings{Chu_2021_ICCV, author = {Chu, Xiangxiang and Zhang, Bo and Li, Qingyuan and Xu, Ruijun and Li, Xudong}, title = {SCARLET-NAS: Bridging the Gap Between Stability and Scalability in Weight-Sharing Neural Architecture Search}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {317-325} }
Leveraging Batch Normalization for Vision Transformers: Zhuliang Yao,

Yue Cao,

Yutong Lin,

Ze Liu,

Zheng Zhang,

Han Hu; [pdf]
[bibtex]
@InProceedings{Yao_2021_ICCV, author = {Yao, Zhuliang and Cao, Yue and Lin, Yutong and Liu, Ze and Zhang, Zheng and Hu, Han}, title = {Leveraging Batch Normalization for Vision Transformers}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {413-422} }
Contextual Convolutional Neural Networks: Ionut Cosmin Duta,

Mariana Iuliana Georgescu,

Radu Tudor Ionescu; [pdf] [arXiv]
[bibtex]
@InProceedings{Duta_2021_ICCV, author = {Duta, Ionut Cosmin and Georgescu, Mariana Iuliana and Ionescu, Radu Tudor}, title = {Contextual Convolutional Neural Networks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {403-412} }
Single-DARTS: Towards Stable Architecture Search: Pengfei Hou,

Ying Jin,

Yukang Chen; [pdf] [supp]
[bibtex]
@InProceedings{Hou_2021_ICCV, author = {Hou, Pengfei and Jin, Ying and Chen, Yukang}, title = {Single-DARTS: Towards Stable Architecture Search}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {373-382} }
PP-NAS: Searching for Plug-and-Play Blocks on Convolutional Neural Network: Biluo Shen,

Anqi Xiao,

Jie Tian,

Zhenhua Hu; [pdf]
[bibtex]
@InProceedings{Shen_2021_ICCV, author = {Shen, Biluo and Xiao, Anqi and Tian, Jie and Hu, Zhenhua}, title = {PP-NAS: Searching for Plug-and-Play Blocks on Convolutional Neural Network}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {365-372} }
CONet: Channel Optimization for Convolutional Neural Networks: Mahdi S. Hosseini,

Jia Shu Zhang,

Zhe Liu,

Andre Fu,

Jingxuan Su,

Mathieu Tuli,

Konstantinos N. Plataniotis; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Hosseini_2021_ICCV, author = {Hosseini, Mahdi S. and Zhang, Jia Shu and Liu, Zhe and Fu, Andre and Su, Jingxuan and Tuli, Mathieu and Plataniotis, Konstantinos N.}, title = {CONet: Channel Optimization for Convolutional Neural Networks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {326-335} }
DDUNet: Dense Dense U-Net With Applications in Image Denoising: Fan Jia,

Wing Hong Wong,

Tieyong Zeng; [pdf]
[bibtex]
@InProceedings{Jia_2021_ICCV, author = {Jia, Fan and Wong, Wing Hong and Zeng, Tieyong}, title = {DDUNet: Dense Dense U-Net With Applications in Image Denoising}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {354-364} }
Graph-Based Neural Architecture Search With Operation Embeddings: Michail Chatzianastasis,

George Dasoulas,

Georgios Siolas,

Michalis Vazirgiannis; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chatzianastasis_2021_ICCV, author = {Chatzianastasis, Michail and Dasoulas, George and Siolas, Georgios and Vazirgiannis, Michalis}, title = {Graph-Based Neural Architecture Search With Operation Embeddings}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {393-402} }