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Learning Representation for Clustering via Prototype Scattering and
  Positive Sampling

Learning Representation for Clustering via Prototype Scattering and Positive Sampling

23 November 2021
Zhizhong Huang
Jie Chen
Junping Zhang
Hongming Shan
ArXivPDFHTML

Papers citing "Learning Representation for Clustering via Prototype Scattering and Positive Sampling"

13 / 13 papers shown
Title
Forget Vectors at Play: Universal Input Perturbations Driving Machine Unlearning in Image Classification
Forget Vectors at Play: Universal Input Perturbations Driving Machine Unlearning in Image Classification
Changchang Sun
Ren Wang
Yihua Zhang
Jinghan Jia
Jiancheng Liu
Gaowen Liu
Sijia Liu
Yan Yan
AAML
MU
93
0
0
21 Dec 2024
Deep Online Probability Aggregation Clustering
Deep Online Probability Aggregation Clustering
Yuxuan Yan
Na Lu
Ruofan Yan
21
1
0
07 Jul 2024
Towards Calibrated Deep Clustering Network
Towards Calibrated Deep Clustering Network
Yuheng Jia
Jianhong Cheng
Hui Liu
Junhui Hou
UQCV
45
1
0
04 Mar 2024
CEIR: Concept-based Explainable Image Representation Learning
CEIR: Concept-based Explainable Image Representation Learning
Yan Cui
Shuhong Liu
Liuzhuozheng Li
Zhiyuan Yuan
SSL
VLM
21
3
0
17 Dec 2023
Online Prototype Learning for Online Continual Learning
Online Prototype Learning for Online Continual Learning
Yujie Wei
Jiaxin Ye
Zhizhong Huang
Junping Zhang
Hongming Shan
CLL
OnRL
16
39
0
01 Aug 2023
DivClust: Controlling Diversity in Deep Clustering
DivClust: Controlling Diversity in Deep Clustering
Ioannis Maniadis Metaxas
Georgios Tzimiropoulos
Ioannis Patras
21
16
0
03 Apr 2023
GEDI: GEnerative and DIscriminative Training for Self-Supervised
  Learning
GEDI: GEnerative and DIscriminative Training for Self-Supervised Learning
Emanuele Sansone
Robin Manhaeve
SSL
15
9
0
27 Dec 2022
Retinex Image Enhancement Based on Sequential Decomposition With a
  Plug-and-Play Framework
Retinex Image Enhancement Based on Sequential Decomposition With a Plug-and-Play Framework
Tingting Wu
W. Wu
Ying Yang
Fenglei Fan
T. Zeng
23
10
0
11 Oct 2022
Forget Less, Count Better: A Domain-Incremental Self-Distillation
  Learning Benchmark for Lifelong Crowd Counting
Forget Less, Count Better: A Domain-Incremental Self-Distillation Learning Benchmark for Lifelong Crowd Counting
Jiaqi Gao
Jingqi Li
Hongming Shan
Yanyun Qu
J. Z. Wang
Fei-Yue Wang
Junping Zhang
25
19
0
06 May 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
258
7,412
0
11 Nov 2021
Understanding self-supervised Learning Dynamics without Contrastive
  Pairs
Understanding self-supervised Learning Dynamics without Contrastive Pairs
Yuandong Tian
Xinlei Chen
Surya Ganguli
SSL
138
278
0
12 Feb 2021
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
238
3,359
0
09 Mar 2020
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed
  Visual Recognition
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition
Boyan Zhou
Quan Cui
Xiu-Shen Wei
Zhao-Min Chen
240
780
0
05 Dec 2019
1