計算機視覺研究院專欄
作者：Edison_G
今年的CVPR也陸續被大家熟知，錄取的paper也公布出來，大家有興趣的可以深入了解自己感興趣的領域。作為計算機視覺領域三大頂會之一，CVPR2021目前已公布了所有接收論文ID，一共有1663篇論文被接收，接收率為23.7%，雖然接受率相比去年有所上升，但競争也是非常激烈。
首先我們先分享曆年比較好的，然後分享今年最新最佳的paper！
CVPR幹貨 | ATSS——最新技術的目标檢測（文末源碼下載下傳）
CVPR2020最佳檢測 | 帶有注意力RPN和多關系檢測器的小樣本目标檢測網絡（提供源碼和資料及下載下傳）
代碼實踐 | CVPR2020——AdderNet（加法網絡）遷移到檢測網絡（代碼分享）
CVPR2020最佳新架構｜大規模人臉表情識别（附源代碼）
CVPR2020 | 用有噪聲的學生網絡進行自我訓練提高ImageNet分類
CVPR2020 | 人臉識别基于通用表示學習（文末附有下載下傳位址）
CVPR2020 | 超越MobileNetV3的輕量級網絡(文末論文下載下傳)
CVPR 2021
緻力于計算機視覺和模式識别包括顔色檢測、跟蹤、運動、物體識别、音響和目标檢測。
圖像目标檢測(Image Object Detection)
Instance Localization for Self-supervised Detection Pretraining
Multiple Instance Active Learning for Object Detection（用于對象檢測的多執行個體主動學習）
Open-world object detection(開放世界中的目标檢測)
Positive-Unlabeled Data Purification in the Wild for Object Detection(野外檢測對象的陽性無标簽資料提純)
UP-DETR: Unsupervised Pre-training for Object Detection with Transformers
Image-to-image Translation via Hierarchical Style Disentanglement Xinyang Li, Shengchuan Zhang, Jie Hu, Liujuan Cao, Xiaopeng Hong, Xudong Mao, Feiyue Huang, Yongjian Wu, Rongrong Ji https://arxiv.org/abs/2103.01456 https://github.com/imlixinyang/HiSD
FLAVR: Flow-Agnostic Video Representations for Fast Frame Interpolation https://arxiv.org/pdf/2012.08512.pdf https://tarun005.github.io/FLAVR/Code https://tarun005.github.io/FLAVR/
Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition Stephen Hausler, Sourav Garg, Ming Xu, Michael Milford, Tobias Fischer https://arxiv.org/abs/2103.01486
Depth from Camera Motion and Object Detection Brent A. Griffin, Jason J. Corso https://arxiv.org/abs/2103.01468
UP-DETR: Unsupervised Pre-training for Object Detection with Transformers https://arxiv.org/pdf/2011.09094.pdf
Multi-Stage Progressive Image Restoration https://arxiv.org/abs/2102.02808 https://github.com/swz30/MPRNet
Weakly Supervised Learning of Rigid 3D Scene Flow https://arxiv.org/pdf/2102.08945.pdf https://arxiv.org/pdf/2102.08945.pdf https://3dsceneflow.github.io/
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning Mamshad Nayeem Rizve, Salman Khan, Fahad Shahbaz Khan, Mubarak Shah https://arxiv.org/abs/2103.01315
Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels https://arxiv.org/abs/2101.05022 https://github.com/naver-ai/relabel_imagenet
Rethinking Channel Dimensions for Efficient Model Design https://arxiv.org/abs/2007.00992 https://github.com/clovaai/rexnet
Coarse-Fine Networks for Temporal Activity Detection in Videos Kumara Kahatapitiya, Michael S. Ryoo https://arxiv.org/abs/2103.01302
A Deep Emulator for Secondary Motion of 3D Characters Mianlun Zheng, Yi Zhou, Duygu Ceylan, Jernej Barbic https://arxiv.org/abs/2103.01261
Fair Attribute Classification through Latent Space De-biasing https://arxiv.org/abs/2012.01469 https://github.com/princetonvisualai/gan-debiasing https://princetonvisualai.github.io/gan-debiasing/
Auto-Exposure Fusion for Single-Image Shadow Removal Lan Fu, Changqing Zhou, Qing Guo, Felix Juefei-Xu, Hongkai Yu, Wei Feng, Yang Liu, Song Wang https://arxiv.org/abs/2103.01255
Less is More: CLIPBERT for Video-and-Language Learning via Sparse Sampling https://arxiv.org/pdf/2102.06183.pdf https://github.com/jayleicn/ClipBERT
MetaSCI: Scalable and Adaptive Reconstruction for Video Compressive Sensing Zhengjue Wang, Hao Zhang, Ziheng Cheng, Bo Chen, Xin Yuan https://arxiv.org/abs/2103.01786
GAN/生成式/對抗式(GAN/Generative/Adversarial)
Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editing（利用GAN中潛在的空間次元進行實時圖像編輯）
Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs(Hijack-GAN：意外使用經過預訓練的黑匣子GAN)
Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation(樣式編碼：用于圖像到圖像翻譯的StyleGAN編碼器)
A 3D GAN for Improved Large-pose Facial Recognition(用于改善大姿勢面部識别的3D GAN)
AttentiveNAS: Improving Neural Architecture Search via Attentive https://arxiv.org/pdf/2011.09011.pdf
Diffusion Probabilistic Models for 3D Point Cloud Generation Shitong Luo, Wei Hu https://arxiv.org/abs/2103.01458
There is More than Meets the Eye: Self-Supervised Multi-Object Detection and Tracking with Sound by Distilling Multimodal Knowledge Francisco Rivera Valverde, Juana Valeria Hurtado, Abhinav Valada https://arxiv.org/abs/2103.01353 http://rl.uni-freiburg.de/research/multimodal-distill
Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation https://arxiv.org/abs/2008.00951 https://github.com/eladrich/pixel2style2pixel https://eladrich.github.io/pixel2style2pixel/
Hierarchical and Partially Observable Goal-driven Policy Learning with Goals Relational Graph Xin Ye, Yezhou Yang https://arxiv.org/abs/2103.01350
RepVGG: Making VGG-style ConvNets Great Again https://arxiv.org/abs/2101.03697 https://github.com/megvii-model/RepVGG
Transformer Interpretability Beyond Attention Visualization https://arxiv.org/pdf/2012.09838.pdf https://github.com/hila-chefer/Transformer-Explainability
PREDATOR: Registration of 3D Point Clouds with Low Overlap https://arxiv.org/pdf/2011.13005.pdf https://github.com/ShengyuH/OverlapPredator https://overlappredator.github.io/
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