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Learning Contrastive Self-Distillation for Ultra-Fine-Grained Visual Categorization Targeting Limited Samples

10 November 2023

Zechao Li

Papers citing "Learning Contrastive Self-Distillation for Ultra-Fine-Grained Visual Categorization Targeting Limited Samples"

32 / 32 papers shown

Title
Hyperbolic Contrastive Learning for Visual Representations beyond Objects Songwei Ge Shlok Kumar Mishra Simon Kornblith Chun-Liang Li David Jacobs OCL SSL 101 56 0 01 Dec 2022
SIM-Trans: Structure Information Modeling Transformer for Fine-grained Visual Categorization H. Sun Xiangteng He Yuxin Peng ViT 72 82 0 31 Aug 2022
Global-Local Self-Distillation for Visual Representation Learning Tim Lebailly Tinne Tuytelaars SSL 38 6 0 29 Jul 2022
Targeted Supervised Contrastive Learning for Long-Tailed Recognition Tianhong Li Peng Cao Yuan. Yuan Lijie Fan Yuzhe Yang Rogerio Feris Piotr Indyk Dina Katabi 95 182 0 27 Nov 2021
RAMS-Trans: Recurrent Attention Multi-scale Transformer forFine-grained Image Recognition Yunqing Hu Xuan Jin Yin Zhang Ha Hong Jingfeng Zhang Yuan He Hui Xue ViT 67 102 0 17 Jul 2021
Align before Fuse: Vision and Language Representation Learning with Momentum Distillation Junnan Li Ramprasaath R. Selvaraju Akhilesh Deepak Gotmare Shafiq Joty Caiming Xiong Guosheng Lin FaML 221 1,972 0 16 Jul 2021
GiT: Graph Interactive Transformer for Vehicle Re-identification Fei Shen Yi Xie Jianqing Zhu Xiaobin Zhu Huanqiang Zeng ViT 89 112 0 12 Jul 2021
Feature Fusion Vision Transformer for Fine-Grained Visual Categorization Jun Wang Xiaohan Yu Yongsheng Gao ViT 78 109 0 06 Jul 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 719 6,127 0 29 Apr 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows Ze Liu Yutong Lin Yue Cao Han Hu Yixuan Wei Zheng Zhang Stephen Lin B. Guo ViT 463 21,566 0 25 Mar 2021
TransFG: A Transformer Architecture for Fine-grained Recognition Ju He Jieneng Chen Shuai Liu Adam Kortylewski Cheng Yang Yutong Bai Changhu Wang ViT 84 389 0 14 Mar 2021
TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation Jieneng Chen Yongyi Lu Qihang Yu Xiangde Luo Ehsan Adeli Yan Wang Le Lu Alan Yuille Yuyin Zhou ViT MedIm 98 3,497 0 08 Feb 2021
Training data-efficient image transformers & distillation through attention Hugo Touvron Matthieu Cord Matthijs Douze Francisco Massa Alexandre Sablayrolles Hervé Jégou ViT 389 6,802 0 23 Dec 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 398 6,837 0 13 Jun 2020
The Plant Pathology 2020 challenge dataset to classify foliar disease of apples Ranjita Thapa Noah Snavely Serge J. Belongie Awais Khan Plant Pathology 40 62 0 24 Apr 2020
Supervised Contrastive Learning Prannay Khosla Piotr Teterwak Chen Wang Aaron Sarna Yonglong Tian Phillip Isola Aaron Maschinot Ce Liu Dilip Krishnan SSL 165 4,572 0 23 Apr 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 498 3,443 0 09 Mar 2020
Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches Ruoyi Du Dongliang Chang A. Bhunia Jiyang Xie Zhanyu Ma Yi-Zhe Song Jun Guo 119 296 0 08 Mar 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 387 18,866 0 13 Feb 2020
CSPNet: A New Backbone that can Enhance Learning Capability of CNN Chien-Yao Wang H. Liao I-Hau Yeh Yueh-hua Wu Ping-Yang Chen J. Hsieh 90 3,101 0 27 Nov 2019
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 213 12,124 0 13 Nov 2019
Pay attention to the activations: a modular attention mechanism for fine-grained image recognition Pau Rodríguez López Diego A. Velázquez Guillem Cucurull J. M. Gonfaus F. X. Roca Jordi Gonzalez 109 75 0 30 Jul 2019
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features Sangdoo Yun Dongyoon Han Seong Joon Oh Sanghyuk Chun Junsuk Choe Y. Yoo OOD 622 4,802 0 13 May 2019
Unsupervised Embedding Learning via Invariant and Spreading Instance Feature Mang Ye Xu-Yao Zhang PongChi Yuen Shih-Fu Chang SSL 99 581 0 06 Apr 2019
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination Zhirong Wu Yuanjun Xiong Stella X. Yu Dahua Lin SSL 182 3,466 0 05 May 2018
Squeeze-and-Excitation Networks Jie Hu Li Shen Samuel Albanie Gang Sun Enhua Wu 427 26,557 0 05 Sep 2017
Improved Regularization of Convolutional Neural Networks with Cutout Terrance Devries Graham W. Taylor 129 3,774 0 15 Aug 2017
Sampling Matters in Deep Embedding Learning Chaoxia Wu R. Manmatha Alex Smola Philipp Krahenbuhl 117 923 0 23 Jun 2017
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 793 36,881 0 25 Aug 2016
Diversified Visual Attention Networks for Fine-Grained Object Classification Bo Zhao Xiao-Jun Wu Jiashi Feng Qiang Peng Shuicheng Yan 79 366 0 28 Jun 2016
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 886 27,416 0 02 Dec 2015
FaceNet: A Unified Embedding for Face Recognition and Clustering Florian Schroff Dmitry Kalenichenko James Philbin 3DH 389 13,145 0 12 Mar 2015