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计算机视觉三大会议论文,计算机视觉顶级会议CVPR2021 最新出炉的最佳paper,陆续更新中...(附论文地址)...

發(fā)布時(shí)間:2024/5/14 编程问答 29 豆豆
生活随笔 收集整理的這篇文章主要介紹了 计算机视觉三大会议论文,计算机视觉顶级会议CVPR2021 最新出炉的最佳paper,陆续更新中...(附论文地址)... 小編覺(jué)得挺不錯(cuò)的,現(xiàn)在分享給大家,幫大家做個(gè)參考.

今年的CVPR也陸續(xù)被大家熟知,錄取的paper也公布出來(lái),大家有興趣的可以深入了解自己感興趣的領(lǐng)域。作為計(jì)算機(jī)視覺(jué)領(lǐng)域三大頂會(huì)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(jìng)爭(zhēng)也是非常激烈。

致力于計(jì)算機(jī)視覺(jué)和模式識(shí)別包括顏色檢測(cè)、跟蹤、運(yùn)動(dòng)、物體識(shí)別、音響和目標(biāo)檢測(cè)。

圖像目標(biāo)檢測(cè)(Image Object Detection)

Instance Localization for Self-supervised Detection Pretraining

Multiple Instance Active Learning for Object Detection(用于對(duì)象檢測(cè)的多實(shí)例主動(dòng)學(xué)習(xí))

Open-world object detection(開(kāi)放世界中的目標(biāo)檢測(cè))

Positive-Unlabeled Data Purification in the Wild for Object Detection(野外檢測(cè)對(duì)象的陽(yáng)性無(wú)標(biāo)簽數(shù)據(jù)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

代碼鏈接:?https://github.com/imlixinyang/HiSD

FLAVR: Flow-Agnostic Video Representations for Fast Frame Interpolation

論文鏈接:https://arxiv.org/pdf/2012.08512.pdf

代碼鏈接: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

論文鏈接:https://arxiv.org/abs/2103.01486

Depth from Camera Motion and Object Detection Brent A. Griffin, Jason J. Corso

論文鏈接:https://arxiv.org/abs/2103.01468

UP-DETR: Unsupervised Pre-training for Object Detection with Transformers

論文鏈接:https://arxiv.org/pdf/2011.09094.pdf

Multi-Stage Progressive Image Restoration

論文鏈接:https://arxiv.org/abs/2102.02808

代碼鏈接:https://github.com/swz30/MPRNet

Weakly Supervised Learning of Rigid 3D Scene Flow

論文鏈接:https://arxiv.org/pdf/2102.08945.pdf

論文鏈接:https://arxiv.org/pdf/2102.08945.pdf

代碼鏈接: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

論文鏈接:https://arxiv.org/abs/2103.01315

Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels

論文鏈接:https://arxiv.org/abs/2101.05022

代碼鏈接:https://github.com/naver-ai/relabel_imagenet

Rethinking Channel Dimensions for Efficient Model Design

論文鏈接:https://arxiv.org/abs/2007.00992

代碼鏈接:https://github.com/clovaai/rexnet

Coarse-Fine Networks for Temporal Activity Detection in Videos Kumara Kahatapitiya, Michael S. Ryoo

論文鏈接:https://arxiv.org/abs/2103.01302

A Deep Emulator for Secondary Motion of 3D Characters Mianlun Zheng, Yi Zhou, Duygu Ceylan, Jernej Barbic

論文鏈接:https://arxiv.org/abs/2103.01261

Fair Attribute Classification through Latent Space De-biasing

論文鏈接:https://arxiv.org/abs/2012.01469

代碼鏈接: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

論文鏈接:https://arxiv.org/abs/2103.01255

Less is More: CLIPBERT for Video-and-Language Learning via Sparse Sampling

論文鏈接:https://arxiv.org/pdf/2102.06183.pdf

代碼鏈接:https://github.com/jayleicn/ClipBERT

MetaSCI: Scalable and Adaptive Reconstruction for Video Compressive Sensing Zhengjue Wang, Hao Zhang, Ziheng Cheng, Bo Chen, Xin Yuan

論文鏈接:https://arxiv.org/abs/2103.01786

GAN/生成式/對(duì)抗式(GAN/Generative/Adversarial)

Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editing(利用GAN中潛在的空間維度進(jìn)行實(shí)時(shí)圖像編輯)

Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs(Hijack-GAN:意外使用經(jīng)過(guò)預(yù)訓(xùn)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(shì)面部識(shí)別的3D GAN)

AttentiveNAS: Improving Neural Architecture Search via Attentive

論文鏈接:https://arxiv.org/pdf/2011.09011.pdf

Diffusion Probabilistic Models for 3D Point Cloud Generation Shitong Luo, Wei Hu

論文鏈接: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

http://rl.uni-freiburg.de/research/multimodal-distill

Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation

論文鏈接:https://arxiv.org/abs/2008.00951

代碼鏈接: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

論文鏈接:https://arxiv.org/abs/2103.01350

RepVGG: Making VGG-style ConvNets Great Again

論文鏈接:https://arxiv.org/abs/2101.03697

代碼鏈接:https://github.com/megvii-model/RepVGG

Transformer Interpretability Beyond Attention Visualization

論文鏈接:https://arxiv.org/pdf/2012.09838.pdf

代碼鏈接:https://github.com/hila-chefer/Transformer-Explainability

PREDATOR: Registration of 3D Point Clouds with Low Overlap

論文鏈接:https://arxiv.org/pdf/2011.13005.pdf

代碼鏈接:https://github.com/ShengyuH/OverlapPredator

https://overlappredator.github.io/

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