Divide and Contrast: Self-supervised Learning from Uncurated Data

17 May 2021

Papers citing "Divide and Contrast: Self-supervised Learning from Uncurated Data"

26 / 26 papers shown

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
ELIP: Enhanced Visual-Language Foundation Models for Image Retrieval Guanqi Zhan Yuanpei Liu Kai Han Weidi Xie Andrew Zisserman VLM 102 0 0 21 Feb 2025
Self-Masking Networks for Unsupervised Adaptation Alfonso Taboada Warmerdam Mathilde Caron Yuki M. Asano 34 1 0 11 Sep 2024
Predicting the Best of N Visual Trackers B. Alawode S. Javed Arif Mahmood Jirí Matas 39 1 0 22 Jul 2024
RudolfV: A Foundation Model by Pathologists for Pathologists Jonas Dippel Barbara Feulner Tobias Winterhoff Timo Milbich Stephan Tietz ... David Horst Lukas Ruff Klaus-Robert Muller Frederick Klauschen Maximilian Alber 23 28 0 08 Jan 2024
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 44 3,011 0 14 Apr 2023
A surprisingly simple technique to control the pretraining bias for better transfer: Expand or Narrow your representation Florian Bordes Samuel Lavoie Randall Balestriero Nicolas Ballas Pascal Vincent SSL 19 5 0 11 Apr 2023
A simple, efficient and scalable contrastive masked autoencoder for learning visual representations Shlok Kumar Mishra Joshua Robinson Huiwen Chang David Jacobs Aaron Sarna Aaron Maschinot Dilip Krishnan DiffM 23 29 0 30 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 23 9 0 30 Sep 2022
On the Pros and Cons of Momentum Encoder in Self-Supervised Visual Representation Learning T. Pham Chaoning Zhang Axi Niu Kang Zhang Chang-Dong Yoo 18 11 0 11 Aug 2022
OpenCon: Open-world Contrastive Learning Yiyou Sun Yixuan Li VLM SSL DRL 37 39 0 04 Aug 2022
Prioritized Training on Points that are Learnable, Worth Learning, and Not Yet Learnt Sören Mindermann J. Brauner Muhammed Razzak Mrinank Sharma Andreas Kirsch ... Benedikt Höltgen Aidan N. Gomez Adrien Morisot Sebastian Farquhar Y. Gal 30 148 0 14 Jun 2022
CYBORGS: Contrastively Bootstrapping Object Representations by Grounding in Segmentation Renhao Wang Hang Zhao Yang Gao SSL 14 1 0 17 Mar 2022
Object discovery and representation networks Olivier J. Hénaff Skanda Koppula Evan Shelhamer Daniel Zoran Andrew Jaegle Andrew Zisserman João Carreira Relja Arandjelović 33 87 0 16 Mar 2022
Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning Hao He Kaiwen Zha Dina Katabi AAML 26 32 0 22 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 66 80 0 13 Jan 2022
SLIP: Self-supervision meets Language-Image Pre-training Norman Mu Alexander Kirillov David A. Wagner Saining Xie VLM CLIP 8 475 0 23 Dec 2021
Self-Supervised Models are Continual Learners Enrico Fini Victor G. Turrisi da Costa Xavier Alameda-Pineda Elisa Ricci Alahari Karteek Julien Mairal BDL CLL SSL 19 157 0 08 Dec 2021
A data-centric approach for improving ambiguous labels with combined semi-supervised classification and clustering Lars Schmarje M. Santarossa Simon-Martin Schroder Claudius Zelenka R. Kiko J. Stracke N. Volkmann Reinhard Koch 22 10 0 30 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 28 208 0 17 Jun 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
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding Saining Xie Jiatao Gu Demi Guo C. Qi Leonidas J. Guibas Or Litany 3DPC 139 620 0 21 Jul 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 238 3,359 0 09 Mar 2020
A Mutual Information Maximization Perspective of Language Representation Learning Lingpeng Kong Cyprien de Masson dÁutume Wang Ling Lei Yu Zihang Dai Dani Yogatama SSL 212 165 0 18 Oct 2019
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 244 1,276 0 06 Mar 2017