Distilling Localization for Self-Supervised Representation Learning

Distilling Localization for Self-Supervised Representation Learning

14 April 2020

Rynson W. H. Lau

Papers citing "Distilling Localization for Self-Supervised Representation Learning"

17 / 17 papers shown

Title
Rethinking the Localization in Weakly Supervised Object Localization Rui Xu Yong Luo Han Hu Bo Du Jialie Shen Yonggang Wen WSOL 27 3 0 11 Aug 2023
Learning Common Rationale to Improve Self-Supervised Representation for Fine-Grained Visual Recognition Problems Yangyang Shu A. Hengel Lingqiao Liu SSL 30 14 0 03 Mar 2023
Learning the Relation between Similarity Loss and Clustering Loss in Self-Supervised Learning Jidong Ge YuXiang Liu Jie Gui Lanting Fang Ming Lin James T. Kwok LiGuo Huang B. Luo SSL 16 5 0 08 Jan 2023
Randomized Quantization: A Generic Augmentation for Data Agnostic Self-supervised Learning Huimin Wu Chenyang Lei Xiao Sun Pengju Wang Qifeng Chen Kwang-Ting Cheng Stephen Lin Zhirong Wu MQ 30 5 0 19 Dec 2022
Copy-Pasting Coherent Depth Regions Improves Contrastive Learning for Urban-Scene Segmentation Liang Zeng A. Lengyel Nergis Tomen J. C. V. Gemert AI4TS 21 0 0 25 Nov 2022
Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach Kaiwen Yang Yanchao Sun Jiahao Su Fengxiang He Xinmei Tian Furong Huang Tianyi Zhou Dacheng Tao 30 13 0 02 Nov 2022
ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images Jiawei Yang Hanbo Chen Yuan Liang Junzhou Huang Lei He Jianhua Yao 46 18 0 14 Jul 2022
Extreme Masking for Learning Instance and Distributed Visual Representations Zhirong Wu Zihang Lai Xiao Sun Stephen Lin 32 22 0 09 Jun 2022
CoDo: Contrastive Learning with Downstream Background Invariance for Detection Bing Zhao Jun Li Hong Zhu SSL 24 2 0 10 May 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
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 76 81 0 13 Jan 2022
Characterizing and Improving the Robustness of Self-Supervised Learning through Background Augmentations Chaitanya K. Ryali D. Schwab Ari S. Morcos SSL 32 9 0 23 Mar 2021
CASTing Your Model: Learning to Localize Improves Self-Supervised Representations Ramprasaath R. Selvaraju Karan Desai Justin Johnson Nikhil Naik SSL 27 79 0 08 Dec 2020
On Robustness and Transferability of Convolutional Neural Networks Josip Djolonga Jessica Yung Michael Tschannen Rob Romijnders Lucas Beyer ... D. Moldovan Sylvain Gelly N. Houlsby Xiaohua Zhai Mario Lucic OOD 13 153 0 16 Jul 2020
What Makes for Good Views for Contrastive Learning? Yonglong Tian Chen Sun Ben Poole Dilip Krishnan Cordelia Schmid Phillip Isola SSL 16 1,302 0 20 May 2020
FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Tracking Yifu Zhang Chunyu Wang Xinggang Wang Wenjun Zeng Wenyu Liu VOT 34 1,303 0 04 Apr 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 267 3,369 0 09 Mar 2020