A Broad Study on the Transferability of Visual Representations with
Contrastive Learning

A Broad Study on the Transferability of Visual Representations with Contrastive Learning

24 March 2021

Leonid Karlinsky

Richard J. Radke

Papers citing "A Broad Study on the Transferability of Visual Representations with Contrastive Learning"

16 / 66 papers shown

Title
CAiD: Context-Aware Instance Discrimination for Self-supervised Learning in Medical Imaging M. Taher F. Haghighi Michael B. Gotway Jianming Liang OOD SSL 11 31 0 15 Apr 2022
How Severe is Benchmark-Sensitivity in Video Self-Supervised Learning? Fida Mohammad Thoker Hazel Doughty Piyush Bagad Cees G. M. Snoek SSL 25 19 0 27 Mar 2022
Better Uncertainty Calibration via Proper Scores for Classification and Beyond Sebastian G. Gruber Florian Buettner UQCV 6 45 0 15 Mar 2022
Simple Control Baselines for Evaluating Transfer Learning Andrei Atanov Shijian Xu Onur Beker Andrei Filatov Amir Zamir SSL 29 1 0 07 Feb 2022
Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty Jaehoon Oh Sungnyun Kim Namgyu Ho Jin-Hwa Kim Hwanjun Song Se-Young Yun 22 34 0 01 Feb 2022
BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations Daiqing Li Huan Ling Seung Wook Kim Karsten Kreis Adela Barriuso Sanja Fidler Antonio Torralba 23 103 0 12 Jan 2022
Revisiting the Transferability of Supervised Pretraining: an MLP Perspective Yizhou Wang Shixiang Tang Feng Zhu Lei Bai Rui Zhao Donglian Qi Wanli Ouyang 21 51 0 01 Dec 2021
Task2Sim : Towards Effective Pre-training and Transfer from Synthetic Data Samarth Mishra Rameswar Panda Cheng Perng Phoo Chun-Fu Chen Leonid Karlinsky Kate Saenko Venkatesh Saligrama Rogerio Feris 26 33 0 30 Nov 2021
Transferability Metrics for Selecting Source Model Ensembles A. Agostinelli J. Uijlings Thomas Mensink V. Ferrari 13 23 0 25 Nov 2021
Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices Puja Trivedi Ekdeep Singh Lubana Yujun Yan Yaoqing Yang Danai Koutra 40 52 0 05 Nov 2021
Rethinking Supervised Pre-training for Better Downstream Transferring Yutong Feng Jianwen Jiang Mingqian Tang R. L. Jin Yue Gao SSL 43 39 0 12 Oct 2021
The Power of Contrast for Feature Learning: A Theoretical Analysis Wenlong Ji Zhun Deng Ryumei Nakada James Y. Zou Linjun Zhang SSL 51 48 0 06 Oct 2021
A Systematic Benchmarking Analysis of Transfer Learning for Medical Image Analysis M. Taher F. Haghighi Ruibin Feng Michael B. Gotway Jianming Liang 23 67 0 12 Aug 2021
Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data Ashraful Islam Chun-Fu Chen Rameswar Panda Leonid Karlinsky Rogerio Feris Richard J. Radke 28 84 0 14 Jun 2021
Large-scale Unsupervised Semantic Segmentation Shangqi Gao Zhong-Yu Li Ming-Hsuan Yang Mingg-Ming Cheng Junwei Han Philip H. S. Torr UQCV 38 84 0 06 Jun 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 267 3,369 0 09 Mar 2020