Title
Efficient Self-Supervised Learning for Earth Observation via Dynamic Dataset Curation Thomas Kerdreux A. Tuel Quentin Febvre A. Mouche Bertrand Chapron 73 0 0 09 Apr 2025
Falcon: Fractional Alternating Cut with Overcoming Minima in Unsupervised Segmentation Xiao Zhang Xiangyu Han Xiwen Lai Yao Sun Pei Zhang Konrad Kording 34 0 0 08 Apr 2025
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An Empirical Study into Clustering of Unseen Datasets with Self-Supervised Encoders Scott C. Lowe Joakim Bruslund Haurum Sageev Oore T. Moeslund Graham W. Taylor SSL 46 3 0 04 Jun 2024
A Review on Discriminative Self-supervised Learning Methods in Computer Vision Nikolaos Giakoumoglou Tania Stathaki Athanasios Gkelias SSL 61 1 0 08 May 2024
LaneCorrect: Self-supervised Lane Detection Ming-Jun Nie Xinyue Cai Han Xu Li Zhang SSL 62 4 0 23 Apr 2024
BigGait: Learning Gait Representation You Want by Large Vision Models Dingqiang Ye Chao Fan Jingzhe Ma Xiaoming Liu Shiqi Yu CVBM SLR 26 17 0 29 Feb 2024
Separating common from salient patterns with Contrastive Representation Learning Robin Louiset Edouard Duchesnay Antoine Grigis Pietro Gori SSL DRL 38 1 0 19 Feb 2024
Series2Vec: Similarity-based Self-supervised Representation Learning for Time Series Classification Navid Mohammadi Foumani Chang Wei Tan Geoffrey I. Webb Hamid Rezatofighi Mahsa Salehi SSL AI4TS 31 4 0 07 Dec 2023
Multi-domain improves out-of-distribution and data-limited scenarios for medical image analysis Ece Ozkan Xavier Boix OOD 25 0 0 10 Oct 2023
pNNCLR: Stochastic Pseudo Neighborhoods for Contrastive Learning based Unsupervised Representation Learning Problems Momojit Biswas Himanshu Buckchash Dilip K. Prasad SSL 24 7 0 14 Aug 2023
End-to-End Augmentation Hyperparameter Tuning for Self-Supervised Anomaly Detection Jaemin Yoo Lingxiao Zhao L. Akoglu 30 4 0 21 Jun 2023
Evaluating The Robustness of Self-Supervised Representations to Background/Foreground Removal Xavier F. Cadet Ranya Aloufi A. Miranville S. Ahmadi-Abhari Hamed Haddadi 16 0 0 02 Jun 2023
HAAV: Hierarchical Aggregation of Augmented Views for Image Captioning Chia-Wen Kuo Z. Kira 27 21 0 25 May 2023
DINOv2: Learning Robust Visual Features without Supervision Maxime Oquab Timothée Darcet Théo Moutakanni Huy Q. Vo Marc Szafraniec ... Hervé Jégou Julien Mairal Patrick Labatut Armand Joulin Piotr Bojanowski VLM CLIP SSL 101 3,017 0 14 Apr 2023
On Efficient Training of Large-Scale Deep Learning Models: A Literature Review Li Shen Yan Sun Zhiyuan Yu Liang Ding Xinmei Tian Dacheng Tao VLM 28 40 0 07 Apr 2023
Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning Ajinkya Tejankar Maziar Sanjabi Qifan Wang Sinong Wang Hamed Firooz Hamed Pirsiavash L Tan AAML 28 19 0 04 Apr 2023
INoD: Injected Noise Discriminator for Self-Supervised Representation Learning in Agricultural Fields Julia Hindel Nikhil Gosala Kevin Bregler Abhinav Valada 24 6 0 31 Mar 2023
Rethinking Self-Supervised Visual Representation Learning in Pre-training for 3D Human Pose and Shape Estimation Hongsuk Choi Hyeongjin Nam T. Lee Gyeongsik Moon Kyoung Mu Lee 34 7 0 09 Mar 2023
The Role of Pre-training Data in Transfer Learning R. Entezari Mitchell Wortsman O. Saukh M. Shariatnia Hanie Sedghi Ludwig Schmidt 46 20 0 27 Feb 2023
Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning with Multimodal Models Zhiqiu Lin Samuel Yu Zhiyi Kuang Deepak Pathak Deva Ramana VLM 15 100 0 16 Jan 2023
Tracking Passengers and Baggage Items using Multiple Overhead Cameras at Security Checkpoints Abubakar Siddique Henry Medeiros 27 5 0 31 Dec 2022
Self-supervised remote sensing feature learning: Learning Paradigms, Challenges, and Future Works Chao Tao Ji Qi Mingning Guo Qing Zhu Haifeng Li SSL 24 56 0 15 Nov 2022
The Robustness Limits of SoTA Vision Models to Natural Variation Mark Ibrahim Q. Garrido Ari S. Morcos Diane Bouchacourt VLM 38 16 0 24 Oct 2022
Few-Shot Learning of Compact Models via Task-Specific Meta Distillation Yong Wu Shekhor Chanda M. Hosseinzadeh Zhi Liu Yang Wang VLM 29 7 0 18 Oct 2022
Cognitive Models as Simulators: The Case of Moral Decision-Making A. S. Nobandegani Thomas R. Shultz Irina Rish 18 2 0 08 Oct 2022
Granularity-aware Adaptation for Image Retrieval over Multiple Tasks Jon Almazán ByungSoo Ko Geonmo Gu Diane Larlus Yannis Kalantidis ObjD VLM 28 7 0 05 Oct 2022
Where Should I Spend My FLOPS? Efficiency Evaluations of Visual Pre-training Methods Skanda Koppula Yazhe Li Evan Shelhamer Andrew Jaegle Nikhil Parthasarathy Relja Arandjelović João Carreira Olivier J. Hénaff 30 9 0 30 Sep 2022
OpenCon: Open-world Contrastive Learning Yiyou Sun Yixuan Li VLM SSL DRL 44 39 0 04 Aug 2022
Dissecting Self-Supervised Learning Methods for Surgical Computer Vision Sanat Ramesh V. Srivastav Deepak Alapatt Tong Yu Aditya Murali ... Saurav Sharma A. Fleurentin Georgios Exarchakis Alexandros Karargyris N. Padoy 18 42 0 01 Jul 2022
Towards Galaxy Foundation Models with Hybrid Contrastive Learning Mike Walmsley I. V. Slijepcevic Micah Bowles A. Scaife VLM 38 15 0 23 Jun 2022
Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency Xiang Zhang Ziyuan Zhao Theodoros Tsiligkaridis Marinka Zitnik AI4TS 25 271 0 17 Jun 2022
Masked Siamese ConvNets L. Jing Jiachen Zhu Yann LeCun SSL 35 34 0 15 Jun 2022
Discovering Object Masks with Transformers for Unsupervised Semantic Segmentation Wouter Van Gansbeke Simon Vandenhende Luc Van Gool 34 55 0 13 Jun 2022
Extreme Masking for Learning Instance and Distributed Visual Representations Zhirong Wu Zihang Lai Xiao Sun Stephen Lin 32 22 0 09 Jun 2022
Improvements to Self-Supervised Representation Learning for Masked Image Modeling Jia-ju Mao Xuesong Yin Yuan Chang Honggu Zhou SSL 27 1 0 21 May 2022
Empirical Evaluation and Theoretical Analysis for Representation Learning: A Survey Kento Nozawa Issei Sato AI4TS 19 4 0 18 Apr 2022
Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning Mayee F. Chen Daniel Y. Fu A. Narayan Michael Zhang Zhao-quan Song Kayvon Fatahalian Christopher Ré SSL 19 46 0 15 Apr 2022
TOV: The Original Vision Model for Optical Remote Sensing Image Understanding via Self-supervised Learning Chao Tao Ji Qi Guo Zhang Qing Zhu Weipeng Lu Haifeng Li 34 40 0 10 Apr 2022
Self-Labeling Refinement for Robust Representation Learning with Bootstrap Your Own Latent Siddhant Garg Dhruval Jain SSL 33 0 0 09 Apr 2022
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
The Unsurprising Effectiveness of Pre-Trained Vision Models for Control Simone Parisi Aravind Rajeswaran Senthil Purushwalkam Abhinav Gupta LM&Ro 28 186 0 07 Mar 2022
Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision Priya Goyal Quentin Duval Isaac Seessel Mathilde Caron Ishan Misra Levent Sagun Armand Joulin Piotr Bojanowski VLM SSL 26 110 0 16 Feb 2022
Compute Trends Across Three Eras of Machine Learning J. Sevilla Lennart Heim A. Ho T. Besiroglu Marius Hobbhahn Pablo Villalobos 20 269 0 11 Feb 2022
Deep Learning Methods for Abstract Visual Reasoning: A Survey on Raven's Progressive Matrices Mikolaj Malkiñski Jacek Mañdziuk 120 41 0 28 Jan 2022
Knowledge Tracing: A Survey Ghodai M. Abdelrahman Qing Wang B. Nunes AI4Ed 10 192 0 08 Jan 2022
Are Large-scale Datasets Necessary for Self-Supervised Pre-training? Alaaeldin El-Nouby Gautier Izacard Hugo Touvron Ivan Laptev Hervé Jégou Edouard Grave SSL 18 148 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 13 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 47 1,746 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 30 38 0 15 Nov 2021