Title
Are Large-scale Datasets Necessary for Self-Supervised Pre-training? Alaaeldin El-Nouby Gautier Izacard Hugo Touvron Ivan Laptev Hervé Jégou Edouard Grave SSL 27 148 0 20 Dec 2021
Multi-label Iterated Learning for Image Classification with Label Ambiguity Sai Rajeswar Pau Rodríguez López Soumye Singhal David Vazquez Aaron C. Courville VLM 23 30 0 23 Nov 2021
Swin Transformer V2: Scaling Up Capacity and Resolution Ze Liu Han Hu Yutong Lin Zhuliang Yao Zhenda Xie ... Yue Cao Zheng-Wei Zhang Li Dong Furu Wei B. Guo ViT 52 1,747 0 18 Nov 2021
Scaling Law for Recommendation Models: Towards General-purpose User Representations Kyuyong Shin Hanock Kwak KyungHyun Kim Max Nihlén Ramström Jisu Jeong Jung-Woo Ha S. Kim ELM 36 38 0 15 Nov 2021
The Emergence of Objectness: Learning Zero-Shot Segmentation from Videos Runtao Liu Zhirong Wu Stella X. Yu Stephen Lin VOS 32 51 0 11 Nov 2021
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 305 7,443 0 11 Nov 2021
Self-supervised similarity search for large scientific datasets G. Stein P. Harrington Jacqueline Blaum Tomislav Medan Z. Lukić 21 21 0 25 Oct 2021
Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm Yangguang Li Feng Liang Lichen Zhao Yufeng Cui Wanli Ouyang Jing Shao F. Yu Junjie Yan VLM CLIP 29 443 0 11 Oct 2021
Self-supervised Learning is More Robust to Dataset Imbalance Hong Liu Jeff Z. HaoChen Adrien Gaidon Tengyu Ma OOD SSL 33 157 0 11 Oct 2021
Exploring the Limits of Large Scale Pre-training Samira Abnar Mostafa Dehghani Behnam Neyshabur Hanie Sedghi AI4CE 60 114 0 05 Oct 2021
Homography augumented momentum constrastive learning for SAR image retrieval Seonho Park M. Rysz Kathleen M. Dipple P. Pardalos 28 1 0 21 Sep 2021
A Study of the Generalizability of Self-Supervised Representations Atharva Tendle Mohammad Rashedul Hasan 76 26 0 19 Sep 2021
LocTex: Learning Data-Efficient Visual Representations from Localized Textual Supervision Zhijian Liu Simon Stent Jie Li John Gideon Song Han VLM 25 10 0 26 Aug 2021
Unsupervised Object-Level Representation Learning from Scene Images Jiahao Xie Xiaohang Zhan Ziwei Liu Yew-Soon Ong Chen Change Loy SSL OCL 38 73 0 22 Jun 2021
Efficient Self-supervised Vision Transformers for Representation Learning Chunyuan Li Jianwei Yang Pengchuan Zhang Mei Gao Bin Xiao Xiyang Dai Lu Yuan Jianfeng Gao ViT 37 209 0 17 Jun 2021
Learning to See by Looking at Noise Manel Baradad Jonas Wulff Tongzhou Wang Phillip Isola Antonio Torralba 26 89 0 10 Jun 2021
What Is Considered Complete for Visual Recognition? Lingxi Xie Xiaopeng Zhang Longhui Wei Jianlong Chang Qi Tian VLM 23 4 0 28 May 2021
Backdoor Attacks on Self-Supervised Learning Aniruddha Saha Ajinkya Tejankar Soroush Abbasi Koohpayegani Hamed Pirsiavash SSL AAML 27 100 0 21 May 2021
Divide and Contrast: Self-supervised Learning from Uncurated Data Yonglong Tian Olivier J. Hénaff Aaron van den Oord SSL 64 96 0 17 May 2021
Inductive biases and Self Supervised Learning in modelling a physical heating system C. Vicas AI4CE 8 0 0 23 Apr 2021
Contrasting Contrastive Self-Supervised Representation Learning Pipelines Klemen Kotar Gabriel Ilharco Ludwig Schmidt Kiana Ehsani Roozbeh Mottaghi SSL 30 45 0 25 Mar 2021
Efficient Visual Pretraining with Contrastive Detection Olivier J. Hénaff Skanda Koppula Jean-Baptiste Alayrac Aaron van den Oord Oriol Vinyals João Carreira VLM SSL 29 162 0 19 Mar 2021
Self-supervised Learning: Generative or Contrastive Xiao Liu Fanjin Zhang Zhenyu Hou Zhaoyu Wang Li Mian Jing Zhang Jie Tang SSL 44 1,586 0 15 Jun 2020
Fixing the train-test resolution discrepancy: FixEfficientNet Hugo Touvron Andrea Vedaldi Matthijs Douze Hervé Jégou AAML 196 110 0 18 Mar 2020
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 297 10,220 0 16 Nov 2016