Debiased Learning for Remote Sensing Data

Debiased Learning for Remote Sensing Data

24 December 2023

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Papers citing "Debiased Learning for Remote Sensing Data"

18 / 18 papers shown

Title
Debiased Learning from Naturally Imbalanced Pseudo-Labels Xudong Wang Zhi-Li Wu Long Lian Stella X. Yu 103 100 0 05 Jan 2022
Influence-Balanced Loss for Imbalanced Visual Classification Seulki Park Jongin Lim Younghan Jeon J. Choi CVBM 128 136 0 06 Oct 2021
FAIR1M: A Benchmark Dataset for Fine-grained Object Recognition in High-Resolution Remote Sensing Imagery Xian Sun Peijin Wang Zhiyuan Yan F. Xu Ruiping Wang ... Tao Xu M. Weinmann Stefan Hinz Cheng Wang Kun Fu ObjD AI4TS 63 367 0 09 Mar 2021
Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning Zhaowei Cai Avinash Ravichandran Subhransu Maji Charless C. Fowlkes Zhuowen Tu Stefano Soatto 91 120 0 21 Jan 2021
CoMatch: Semi-supervised Learning with Contrastive Graph Regularization Junnan Li Caiming Xiong Guosheng Lin SSL 82 263 0 23 Nov 2020
Long-tailed Recognition by Routing Diverse Distribution-Aware Experts Xudong Wang Long Lian Zhongqi Miao Ziwei Liu Stella X. Yu 110 391 0 05 Oct 2020
Long-tail learning via logit adjustment A. Menon Sadeep Jayasumana A. S. Rawat Himanshu Jain Andreas Veit Sanjiv Kumar 123 710 0 14 Jul 2020
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 371 6,833 0 13 Jun 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 375 18,778 0 13 Feb 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence Kihyuk Sohn David Berthelot Chun-Liang Li Zizhao Zhang Nicholas Carlini E. D. Cubuk Alexey Kurakin Han Zhang Colin Raffel AAML 157 3,558 0 21 Jan 2020
ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring David Berthelot Nicholas Carlini E. D. Cubuk Alexey Kurakin Kihyuk Sohn Han Zhang Colin Raffel 97 683 0 21 Nov 2019
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 207 12,085 0 13 Nov 2019
RandAugment: Practical automated data augmentation with a reduced search space E. D. Cubuk Barret Zoph Jonathon Shlens Quoc V. Le MQ 241 3,503 0 30 Sep 2019
LVIS: A Dataset for Large Vocabulary Instance Segmentation Agrim Gupta Piotr Dollár Ross B. Girshick ISeg VLM 103 1,376 0 08 Aug 2019
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss Kaidi Cao Colin Wei Adrien Gaidon Nikos Arechiga Tengyu Ma 127 1,607 0 18 Jun 2019
xView: Objects in Context in Overhead Imagery Darius Lam Richard Kuzma Kevin McGee Samuel Dooley Michael Laielli Matthew K. Klaric Yaroslav Bulatov Brendan McCord ObjD 51 323 0 22 Feb 2018
DOTA: A Large-scale Dataset for Object Detection in Aerial Images Gui-Song Xia X. Bai Jian Ding Zhen Zhu Serge J. Belongie Jiebo Luo Mihai Datcu Marcello Pelillo Liangpei Zhang ObjD 127 2,182 0 28 Nov 2017
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning Pranav Rajpurkar Jeremy Irvin Kaylie Zhu Brandon Yang Hershel Mehta ... Aarti Bagul C. Langlotz K. Shpanskaya M. Lungren A. Ng LM&MA 83 2,709 0 14 Nov 2017