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Fine-grained Angular Contrastive Learning with Coarse Labels

Fine-grained Angular Contrastive Learning with Coarse Labels

7 December 2020
Guy Bukchin
Eli Schwartz
Kate Saenko
Ori Shahar
Rogerio Feris
Raja Giryes
Leonid Karlinsky
ArXivPDFHTML

Papers citing "Fine-grained Angular Contrastive Learning with Coarse Labels"

13 / 13 papers shown
Title
A Generic Method for Fine-grained Category Discovery in Natural Language Texts
A Generic Method for Fine-grained Category Discovery in Natural Language Texts
Chang Tian
Matthew B. Blaschko
Wenpeng Yin
Mingzhe Xing
Yinliang Yue
Marie-Francine Moens
46
2
0
18 Jun 2024
Fine-grained Classes and How to Find Them
Fine-grained Classes and How to Find Them
Matej Grcić
Artyom Gadetsky
Maria Brbić
29
1
0
16 Jun 2024
Efficient Subclass Segmentation in Medical Images
Efficient Subclass Segmentation in Medical Images
Linrui Dai
Wenhui Lei
Xiaofan Zhang
19
1
0
01 Jul 2023
Fine-grained Category Discovery under Coarse-grained supervision with
  Hierarchical Weighted Self-contrastive Learning
Fine-grained Category Discovery under Coarse-grained supervision with Hierarchical Weighted Self-contrastive Learning
Wenbin An
Feng Tian
Ping Chen
Siliang Tang
Qinghua Zheng
Qianying Wang
23
17
0
14 Oct 2022
Class-Specific Channel Attention for Few-Shot Learning
Ying Chen
J. Hsieh
Ming-Ching Chang
15
0
0
03 Sep 2022
Perfectly Balanced: Improving Transfer and Robustness of Supervised
  Contrastive Learning
Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning
Mayee F. Chen
Daniel Y. Fu
A. Narayan
Michael Zhang
Zhao-quan Song
Kayvon Fatahalian
Christopher Ré
SSL
19
46
0
15 Apr 2022
Dual Contrastive Learning for General Face Forgery Detection
Dual Contrastive Learning for General Face Forgery Detection
Ke Sun
Taiping Yao
Shen Chen
Shouhong Ding
L. Jilin
Rongrong Ji
CVBM
16
171
0
27 Dec 2021
Semi-Supervised Learning with Taxonomic Labels
Semi-Supervised Learning with Taxonomic Labels
Jong-Chyi Su
Subhransu Maji
35
10
0
23 Nov 2021
On the Importance of Distractors for Few-Shot Classification
On the Importance of Distractors for Few-Shot Classification
Rajshekhar Das
Yu-xiong Wang
José M. F. Moura
21
28
0
20 Sep 2021
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
267
3,369
0
09 Mar 2020
Cross Attention Network for Few-shot Classification
Cross Attention Network for Few-shot Classification
Rui Hou
Hong Chang
Bingpeng Ma
Shiguang Shan
Xilin Chen
204
629
0
17 Oct 2019
Delta-encoder: an effective sample synthesis method for few-shot object
  recognition
Delta-encoder: an effective sample synthesis method for few-shot object recognition
Eli Schwartz
Leonid Karlinsky
J. Shtok
Sivan Harary
Mattias Marder
Rogerio Feris
Abhishek Kumar
Raja Giryes
A. Bronstein
186
351
0
12 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
323
11,681
0
09 Mar 2017
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