Efficient Visual Pretraining with Contrastive Detection

19 March 2021

Olivier J. Hénaff

Skanda Koppula

Jean-Baptiste Alayrac

Papers citing "Efficient Visual Pretraining with Contrastive Detection"

28 / 128 papers shown

Title
Object discovery and representation networks Olivier J. Hénaff Skanda Koppula Evan Shelhamer Daniel Zoran Andrew Jaegle Andrew Zisserman João Carreira Relja Arandjelović 44 87 0 16 Mar 2022
FreeSOLO: Learning to Segment Objects without Annotations Xinlong Wang Zhiding Yu Shalini De Mello Jan Kautz Anima Anandkumar Chunhua Shen J. Álvarez ISeg SSeg 19 111 0 24 Feb 2022
ChimeraMix: Image Classification on Small Datasets via Masked Feature Mixing Christoph Reinders Frederik Schubert Bodo Rosenhahn 11 7 0 23 Feb 2022
Point-Level Region Contrast for Object Detection Pre-Training Yutong Bai Xinlei Chen Alexander Kirillov Alan Yuille Alexander C. Berg 3DPC 28 50 0 09 Feb 2022
Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet? Nenad Tomašev Ioana Bica Brian McWilliams Lars Buesing Razvan Pascanu Charles Blundell Jovana Mitrović SSL 74 80 0 13 Jan 2022
Sound and Visual Representation Learning with Multiple Pretraining Tasks A. Vasudevan Dengxin Dai Luc Van Gool SSL 31 6 0 04 Jan 2022
Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation K. Chaitanya Ertunc Erdil Neerav Karani E. Konukoglu SSL 13 120 0 17 Dec 2021
RegionCLIP: Region-based Language-Image Pretraining Yiwu Zhong Jianwei Yang Pengchuan Zhang Chunyuan Li Noel Codella ... Luowei Zhou Xiyang Dai Lu Yuan Yin Li Jianfeng Gao VLM CLIP 32 552 0 16 Dec 2021
Contextualized Spatio-Temporal Contrastive Learning with Self-Supervision Liangzhe Yuan Rui Qian Yin Cui Boqing Gong Florian Schroff Ming-Hsuan Yang Hartwig Adam Ting Liu AI4TS 22 15 0 09 Dec 2021
CA-SSL: Class-Agnostic Semi-Supervised Learning for Detection and Segmentation Lu Qi Jason Kuen Zhe-nan Lin Jiuxiang Gu Fengyun Rao Dian Li Weidong Guo Zhen Wen Ming Yang Jiaya Jia 19 9 0 09 Dec 2021
Auxiliary Learning for Self-Supervised Video Representation via Similarity-based Knowledge Distillation Amirhossein Dadashzadeh Alan Whone Majid Mirmehdi SSL 11 4 0 07 Dec 2021
PreViTS: Contrastive Pretraining with Video Tracking Supervision Brian Chen Ramprasaath R. Selvaraju Shih-Fu Chang Juan Carlos Niebles Nikhil Naik ViT 25 2 0 01 Dec 2021
Object-Aware Cropping for Self-Supervised Learning Shlok Kumar Mishra Anshul B. Shah Ankan Bansal Abhyuday N. Jagannatha Janit Anjaria Abhishek Sharma David Jacobs Dilip Krishnan SSL 18 22 0 01 Dec 2021
Contrastive Object-level Pre-training with Spatial Noise Curriculum Learning Chenhongyi Yang Lichao Huang Elliot J. Crowley SSL VLM 21 6 0 26 Nov 2021
ViCE: Improving Dense Representation Learning by Superpixelization and Contrasting Cluster Assignment Robin Karlsson Tomoki Hayashi Keisuke Fujii Alexander Carballo Kento Ohtani K. Takeda SSL 36 4 0 24 Nov 2021
Unsupervised Part Discovery from Contrastive Reconstruction Subhabrata Choudhury Iro Laina Christian Rupprecht Andrea Vedaldi OCL SSL 174 62 0 11 Nov 2021
A Survey of Self-Supervised and Few-Shot Object Detection Gabriel Huang I. Laradji David Vazquez Simon Lacoste-Julien Pau Rodríguez López ObjD 25 77 0 27 Oct 2021
Unsupervised Object-Level Representation Learning from Scene Images Jiahao Xie Xiaohang Zhan Ziwei Liu Yew-Soon Ong Chen Change Loy SSL OCL 28 73 0 22 Jun 2021
Self-Supervised Learning with Kernel Dependence Maximization Yazhe Li Roman Pogodin Danica J. Sutherland A. Gretton SSL 16 77 0 15 Jun 2021
Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations Wouter Van Gansbeke Simon Vandenhende Stamatios Georgoulis Luc Van Gool SSL 17 65 0 10 Jun 2021
DETReg: Unsupervised Pretraining with Region Priors for Object Detection Amir Bar Xin Wang Vadim Kantorov Colorado Reed Roei Herzig Gal Chechik Anna Rohrbach Trevor Darrell Amir Globerson ViT 25 115 0 08 Jun 2021
Aligning Pretraining for Detection via Object-Level Contrastive Learning Fangyun Wei Yue Gao Zhirong Wu Han Hu Stephen Lin ObjD 14 144 0 04 Jun 2021
Divide and Contrast: Self-supervised Learning from Uncurated Data Yonglong Tian Olivier J. Hénaff Aaron van den Oord SSL 51 96 0 17 May 2021
When Does Contrastive Visual Representation Learning Work? Elijah Cole Xuan S. Yang Kimberly Wilber Oisin Mac Aodha Serge J. Belongie SSL 21 123 0 12 May 2021
Self-Supervised Learning with Swin Transformers Zhenda Xie Yutong Lin Zhuliang Yao Zheng-Wei Zhang Qi Dai Yue Cao Han Hu ViT 18 177 0 10 May 2021
Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals Wouter Van Gansbeke Simon Vandenhende Stamatios Georgoulis Luc Van Gool SSL 188 250 0 11 Feb 2021
Delving into Inter-Image Invariance for Unsupervised Visual Representations Jiahao Xie Xiaohang Zhan Ziwei Liu Yew-Soon Ong Chen Change Loy SSL VLM 15 58 0 26 Aug 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 267 3,369 0 09 Mar 2020