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CVPR2021 最新出爐的最佳paper,陸續更新中...(附論文位址)

CVPR2021 最新出爐的最佳paper,陸續更新中...(附論文位址)

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。
CVPR2021 最新出爐的最佳paper,陸續更新中...(附論文位址)

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)​​

CVPR2021 最新出爐的最佳paper,陸續更新中...(附論文位址)

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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