CVPR 2022 Open Access Repository

Efficient Deep Learning for Computer Vision

An Once-for-All Budgeted Pruning Framework for ConvNets Considering Input Resolution: Wenyu Sun,

Jian Cao,

Pengtao Xu,

Xiangcheng Liu,

Yuan Zhang,

Yuan Wang; [pdf] [arXiv]
[bibtex]
@InProceedings{Sun_2022_CVPR, author = {Sun, Wenyu and Cao, Jian and Xu, Pengtao and Liu, Xiangcheng and Zhang, Yuan and Wang, Yuan}, title = {An Once-for-All Budgeted Pruning Framework for ConvNets Considering Input Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {2609-2618} }
MAPLE: Microprocessor a Priori for Latency Estimation: Saad Abbasi,

Alexander Wong,

Mohammad Javad Shafiee; [pdf] [arXiv]
[bibtex]
@InProceedings{Abbasi_2022_CVPR, author = {Abbasi, Saad and Wong, Alexander and Shafiee, Mohammad Javad}, title = {MAPLE: Microprocessor a Priori for Latency Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {2747-2756} }
Active Object Detection With Epistemic Uncertainty and Hierarchical Information Aggregation: Younghyun Park,

Soyeong Kim,

Wonjeong Choi,

Dong-Jun Han,

Jaekyun Moon; [pdf]
[bibtex]
@InProceedings{Park_2022_CVPR, author = {Park, Younghyun and Kim, Soyeong and Choi, Wonjeong and Han, Dong-Jun and Moon, Jaekyun}, title = {Active Object Detection With Epistemic Uncertainty and Hierarchical Information Aggregation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {2712-2716} }
DA3: Dynamic Additive Attention Adaption for Memory-Efficient On-Device Multi-Domain Learning: Li Yang,

Adnan Siraj Rakin,

Deliang Fan; [pdf] [supp]
[bibtex]
@InProceedings{Yang_2022_CVPR, author = {Yang, Li and Rakin, Adnan Siraj and Fan, Deliang}, title = {DA3: Dynamic Additive Attention Adaption for Memory-Efficient On-Device Multi-Domain Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {2619-2627} }
Searching for Efficient Neural Architectures for On-Device ML on Edge TPUs: Berkin Akin,

Suyog Gupta,

Yun Long,

Anton Spiridonov,

Zhuo Wang,

Marie White,

Hao Xu,

Ping Zhou,

Yanqi Zhou; [pdf] [arXiv]
[bibtex]
@InProceedings{Akin_2022_CVPR, author = {Akin, Berkin and Gupta, Suyog and Long, Yun and Spiridonov, Anton and Wang, Zhuo and White, Marie and Xu, Hao and Zhou, Ping and Zhou, Yanqi}, title = {Searching for Efficient Neural Architectures for On-Device ML on Edge TPUs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {2667-2676} }
YOLO-Pose: Enhancing YOLO for Multi Person Pose Estimation Using Object Keypoint Similarity Loss: Debapriya Maji,

Soyeb Nagori,

Manu Mathew,

Deepak Poddar; [pdf]
[bibtex]
@InProceedings{Maji_2022_CVPR, author = {Maji, Debapriya and Nagori, Soyeb and Mathew, Manu and Poddar, Deepak}, title = {YOLO-Pose: Enhancing YOLO for Multi Person Pose Estimation Using Object Keypoint Similarity Loss}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {2637-2646} }
ResNeSt: Split-Attention Networks: Hang Zhang,

Chongruo Wu,

Zhongyue Zhang,

Yi Zhu,

Haibin Lin,

Zhi Zhang,

Yue Sun,

Tong He,

Jonas Mueller,

R. Manmatha,

Mu Li,

Alexander Smola; [pdf] [arXiv]
[bibtex]
@InProceedings{Zhang_2022_CVPR, author = {Zhang, Hang and Wu, Chongruo and Zhang, Zhongyue and Zhu, Yi and Lin, Haibin and Zhang, Zhi and Sun, Yue and He, Tong and Mueller, Jonas and Manmatha, R. and Li, Mu and Smola, Alexander}, title = {ResNeSt: Split-Attention Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {2736-2746} }
Hybrid Consistency Training With Prototype Adaptation for Few-Shot Learning: Meng Ye,

Xiao Lin,

Giedrius Burachas,

Ajay Divakaran,

Yi Yao; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ye_2022_CVPR, author = {Ye, Meng and Lin, Xiao and Burachas, Giedrius and Divakaran, Ajay and Yao, Yi}, title = {Hybrid Consistency Training With Prototype Adaptation for Few-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {2726-2735} }
Disentangled Loss for Low-Bit Quantization-Aware Training: Thibault Allenet,

David Briand,

Olivier Bichler,

Olivier Sentieys; [pdf]
[bibtex]
@InProceedings{Allenet_2022_CVPR, author = {Allenet, Thibault and Briand, David and Bichler, Olivier and Sentieys, Olivier}, title = {Disentangled Loss for Low-Bit Quantization-Aware Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {2788-2792} }
ANT: Adapt Network Across Time for Efficient Video Processing: Feng Liang,

Ting-Wu Chin,

Yang Zhou,

Diana Marculescu; [pdf]
[bibtex]
@InProceedings{Liang_2022_CVPR, author = {Liang, Feng and Chin, Ting-Wu and Zhou, Yang and Marculescu, Diana}, title = {ANT: Adapt Network Across Time for Efficient Video Processing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {2603-2608} }
Conjugate Adder Net (CAddNet) - A Space-Efficient Approximate CNN: Lulan Shen,

Maryam Ziaeefard,

Brett Meyer,

Warren Gross,

James J. Clark; [pdf]
[bibtex]
@InProceedings{Shen_2022_CVPR, author = {Shen, Lulan and Ziaeefard, Maryam and Meyer, Brett and Gross, Warren and Clark, James J.}, title = {Conjugate Adder Net (CAddNet) - A Space-Efficient Approximate CNN}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {2793-2797} }
Simulated Quantization, Real Power Savings: Mart van Baalen,

Brian Kahne,

Eric Mahurin,

Andrey Kuzmin,

Andrii Skliar,

Markus Nagel,

Tijmen Blankevoort; [pdf]
[bibtex]
@InProceedings{van_Baalen_2022_CVPR, author = {van Baalen, Mart and Kahne, Brian and Mahurin, Eric and Kuzmin, Andrey and Skliar, Andrii and Nagel, Markus and Blankevoort, Tijmen}, title = {Simulated Quantization, Real Power Savings}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {2757-2761} }
A Low Memory Footprint Quantized Neural Network for Depth Completion of Very Sparse Time-of-Flight Depth Maps: Xiaowen Jiang,

Valerio Cambareri,

Gianluca Agresti,

Cynthia Ifeyinwa Ugwu,

Adriano Simonetto,

Fabien Cardinaux,

Pietro Zanuttigh; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Jiang_2022_CVPR, author = {Jiang, Xiaowen and Cambareri, Valerio and Agresti, Gianluca and Ugwu, Cynthia Ifeyinwa and Simonetto, Adriano and Cardinaux, Fabien and Zanuttigh, Pietro}, title = {A Low Memory Footprint Quantized Neural Network for Depth Completion of Very Sparse Time-of-Flight Depth Maps}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {2687-2696} }
TorMentor: Deterministic Dynamic-Path, Data Augmentations With Fractals: Anguelos Nicolaou,

Vincent Christlein,

Edgar Riba,

Jian Shi,

Georg Vogeler,

Mathias Seuret; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Nicolaou_2022_CVPR, author = {Nicolaou, Anguelos and Christlein, Vincent and Riba, Edgar and Shi, Jian and Vogeler, Georg and Seuret, Mathias}, title = {TorMentor: Deterministic Dynamic-Path, Data Augmentations With Fractals}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {2707-2711} }
Area Under the ROC Curve Maximization for Metric Learning: Bojana Gajić,

Ariel Amato,

Ramon Baldrich,

Joost van de Weijer,

Carlo Gatta; [pdf] [supp]
[bibtex]
@InProceedings{Gajic_2022_CVPR, author = {Gaji\'c, Bojana and Amato, Ariel and Baldrich, Ramon and van de Weijer, Joost and Gatta, Carlo}, title = {Area Under the ROC Curve Maximization for Metric Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {2807-2816} }
Linear Combination Approximation of Feature for Channel Pruning: Donggyu Joo,

Doyeon Kim,

Eojindl Yi,

Junmo Kim; [pdf] [supp]
[bibtex]
@InProceedings{Joo_2022_CVPR, author = {Joo, Donggyu and Kim, Doyeon and Yi, Eojindl and Kim, Junmo}, title = {Linear Combination Approximation of Feature for Channel Pruning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {2772-2781} }
TinyOps: ImageNet Scale Deep Learning on Microcontrollers: Sulaiman Sadiq,

Jonathon Hare,

Partha Maji,

Simon Craske,

Geoff V. Merrett; [pdf]
[bibtex]
@InProceedings{Sadiq_2022_CVPR, author = {Sadiq, Sulaiman and Hare, Jonathon and Maji, Partha and Craske, Simon and Merrett, Geoff V.}, title = {TinyOps: ImageNet Scale Deep Learning on Microcontrollers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {2702-2706} }
Semi-Supervised Few-Shot Learning From a Dependency-Discriminant Perspective: Zejiang Hou,

Sun-Yuan Kung; [pdf] [supp]
[bibtex]
@InProceedings{Hou_2022_CVPR, author = {Hou, Zejiang and Kung, Sun-Yuan}, title = {Semi-Supervised Few-Shot Learning From a Dependency-Discriminant Perspective}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {2817-2825} }
Momentum Contrastive Pruning: Siyuan Pan,

Yiming Qin,

Tingyao Li,

Xiaoshuang Li,

Liang Hou; [pdf]
[bibtex]
@InProceedings{Pan_2022_CVPR, author = {Pan, Siyuan and Qin, Yiming and Li, Tingyao and Li, Xiaoshuang and Hou, Liang}, title = {Momentum Contrastive Pruning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {2647-2656} }
Cyclical Pruning for Sparse Neural Networks: Suraj Srinivas,

Andrey Kuzmin,

Markus Nagel,

Mart van Baalen,

Andrii Skliar,

Tijmen Blankevoort; [pdf] [arXiv]
[bibtex]
@InProceedings{Srinivas_2022_CVPR, author = {Srinivas, Suraj and Kuzmin, Andrey and Nagel, Markus and van Baalen, Mart and Skliar, Andrii and Blankevoort, Tijmen}, title = {Cyclical Pruning for Sparse Neural Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {2762-2771} }
Event Transformer. A Sparse-Aware Solution for Efficient Event Data Processing: Alberto Sabater,

Luis Montesano,

Ana C. Murillo; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Sabater_2022_CVPR, author = {Sabater, Alberto and Montesano, Luis and Murillo, Ana C.}, title = {Event Transformer. A Sparse-Aware Solution for Efficient Event Data Processing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {2677-2686} }
When NAS Meets Trees: An Efficient Algorithm for Neural Architecture Search: Guocheng Qian,

Xuanyang Zhang,

Guohao Li,

Chen Zhao,

Yukang Chen,

Xiangyu Zhang,

Bernard Ghanem,

Jian Sun; [pdf] [arXiv]
[bibtex]
@InProceedings{Qian_2022_CVPR, author = {Qian, Guocheng and Zhang, Xuanyang and Li, Guohao and Zhao, Chen and Chen, Yukang and Zhang, Xiangyu and Ghanem, Bernard and Sun, Jian}, title = {When NAS Meets Trees: An Efficient Algorithm for Neural Architecture Search}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {2782-2787} }
Integrating Pose and Mask Predictions for Multi-Person in Videos: Miran Heo,

Sukjun Hwang,

Seoung Wug Oh,

Joon-Young Lee,

Seon Joo Kim; [pdf]
[bibtex]
@InProceedings{Heo_2022_CVPR, author = {Heo, Miran and Hwang, Sukjun and Oh, Seoung Wug and Lee, Joon-Young and Kim, Seon Joo}, title = {Integrating Pose and Mask Predictions for Multi-Person in Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {2657-2666} }
Discriminability-Enforcing Loss To Improve Representation Learning: Florinel-Alin Croitoru,

Diana-Nicoleta Grigore,

Radu Tudor Ionescu; [pdf] [arXiv]
[bibtex]
@InProceedings{Croitoru_2022_CVPR, author = {Croitoru, Florinel-Alin and Grigore, Diana-Nicoleta and Ionescu, Radu Tudor}, title = {Discriminability-Enforcing Loss To Improve Representation Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {2598-2602} }
PEA: Improving the Performance of ReLU Networks for Free by Using Progressive Ensemble Activations: Ákos Utasi; [pdf]
[bibtex]
@InProceedings{Utasi_2022_CVPR, author = {Utasi, \'Akos}, title = {PEA: Improving the Performance of ReLU Networks for Free by Using Progressive Ensemble Activations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {2798-2806} }
Towards Efficient Feature Sharing in MIMO Architectures: Rémy Sun,

Alexandre Ramé,

Clément Masson,

Nicolas Thome,

Matthieu Cord; [pdf] [supp]
[bibtex]
@InProceedings{Sun_2022_CVPR, author = {Sun, R\'emy and Ram\'e, Alexandre and Masson, Cl\'ement and Thome, Nicolas and Cord, Matthieu}, title = {Towards Efficient Feature Sharing in MIMO Architectures}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {2697-2701} }
SqueezeNeRF: Further Factorized FastNeRF for Memory-Efficient Inference: Krishna Wadhwani,

Tamaki Kojima; [pdf] [arXiv]
[bibtex]
@InProceedings{Wadhwani_2022_CVPR, author = {Wadhwani, Krishna and Kojima, Tamaki}, title = {SqueezeNeRF: Further Factorized FastNeRF for Memory-Efficient Inference}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {2717-2725} }
Simple and Efficient Architectures for Semantic Segmentation: Dushyant Mehta,

Andrii Skliar,

Haitam Ben Yahia,

Shubhankar Borse,

Fatih Porikli,

Amirhossein Habibian,

Tijmen Blankevoort; [pdf]
[bibtex]
@InProceedings{Mehta_2022_CVPR, author = {Mehta, Dushyant and Skliar, Andrii and Ben Yahia, Haitam and Borse, Shubhankar and Porikli, Fatih and Habibian, Amirhossein and Blankevoort, Tijmen}, title = {Simple and Efficient Architectures for Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {2628-2636} }