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LSD-C: Linearly Separable Deep Clusters

LSD-C: Linearly Separable Deep Clusters

17 June 2020
Sylvestre-Alvise Rebuffi
Sébastien Ehrhardt
Kai Han
Andrea Vedaldi
Andrew Zisserman
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Papers citing "LSD-C: Linearly Separable Deep Clusters"

9 / 9 papers shown
Title
CLIP-GCD: Simple Language Guided Generalized Category Discovery
CLIP-GCD: Simple Language Guided Generalized Category Discovery
Rabah Ouldnoughi
Chia-Wen Kuo
Z. Kira
VLM
21
14
0
17 May 2023
Learning Semi-supervised Gaussian Mixture Models for Generalized
  Category Discovery
Learning Semi-supervised Gaussian Mixture Models for Generalized Category Discovery
Bingchen Zhao
Xin Wen
Kai Han
33
46
0
10 May 2023
New Intent Discovery with Pre-training and Contrastive Learning
New Intent Discovery with Pre-training and Contrastive Learning
Yuwei Zhang
Haode Zhang
Li-Ming Zhan
Albert Y.S. Lam
Albert Y. S. Lam
SSL
VLM
26
40
0
25 May 2022
Novel Visual Category Discovery with Dual Ranking Statistics and Mutual
  Knowledge Distillation
Novel Visual Category Discovery with Dual Ranking Statistics and Mutual Knowledge Distillation
Bingchen Zhao
Kai Han
15
106
0
07 Jul 2021
AutoNovel: Automatically Discovering and Learning Novel Visual
  Categories
AutoNovel: Automatically Discovering and Learning Novel Visual Categories
Kai Han
Sylvestre-Alvise Rebuffi
Sébastien Ehrhardt
Andrea Vedaldi
Andrew Zisserman
SSL
16
123
0
29 Jun 2021
Joint Representation Learning and Novel Category Discovery on Single-
  and Multi-modal Data
Joint Representation Learning and Novel Category Discovery on Single- and Multi-modal Data
Xu Jia
Kai Han
Yukun Zhu
Bradley Green
147
57
0
26 Apr 2021
Hard Negative Mixing for Contrastive Learning
Hard Negative Mixing for Contrastive Learning
Yannis Kalantidis
Mert Bulent Sariyildiz
Noé Pion
Philippe Weinzaepfel
Diane Larlus
SSL
29
628
0
02 Oct 2020
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
Mean teachers are better role models: Weight-averaged consistency
  targets improve semi-supervised deep learning results
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen
Harri Valpola
OOD
MoMe
261
1,275
0
06 Mar 2017
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