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SPICE: Semantic Pseudo-labeling for Image Clustering

SPICE: Semantic Pseudo-labeling for Image Clustering

17 March 2021
Chuang Niu
Hongming Shan
Ge Wang
    VLM
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Papers citing "SPICE: Semantic Pseudo-labeling for Image Clustering"

20 / 20 papers shown
Title
Cost-Effective Text Clustering with Large Language Models
Cost-Effective Text Clustering with Large Language Models
Hongtao Wang
Taiyan Zhang
Renchi Yang
Jianliang Xu
24
0
0
22 Apr 2025
Keep It Light! Simplifying Image Clustering Via Text-Free Adapters
Keep It Light! Simplifying Image Clustering Via Text-Free Adapters
Yicen Li
Haitz Sáez de Ocáriz Borde
Anastasis Kratsios
Paul D. McNicholas
VLM
88
0
0
06 Feb 2025
AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios
AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios
Ziming Huang
Xurui Li
Haotian Liu
Feng Xue
Yuzhe Wang
Yu Zhou
28
0
0
18 Oct 2024
Image Clustering Algorithm Based on Self-Supervised Pretrained Models
  and Latent Feature Distribution Optimization
Image Clustering Algorithm Based on Self-Supervised Pretrained Models and Latent Feature Distribution Optimization
Qiuyu Zhu
Liheng Hu
Sijin Wang
SSL
VLM
14
1
0
04 Aug 2024
Deep Online Probability Aggregation Clustering
Deep Online Probability Aggregation Clustering
Yuxuan Yan
Na Lu
Ruofan Yan
19
1
0
07 Jul 2024
The Balanced-Pairwise-Affinities Feature Transform
The Balanced-Pairwise-Affinities Feature Transform
Daniel Shalam
Simon Korman
29
0
0
25 Jun 2024
Fine-grained Classes and How to Find Them
Fine-grained Classes and How to Find Them
Matej Grcić
Artyom Gadetsky
Maria Brbić
16
1
0
16 Jun 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
Deep Embedding Clustering Driven by Sample Stability
Deep Embedding Clustering Driven by Sample Stability
Zhanwen Cheng
Feijiang Li
Jieting Wang
Yuhua Qian
16
0
0
29 Jan 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
No Representation Rules Them All in Category Discovery
No Representation Rules Them All in Category Discovery
S. Vaze
Andrea Vedaldi
Andrew Zisserman
OOD
24
31
0
28 Nov 2023
Grid Jigsaw Representation with CLIP: A New Perspective on Image Clustering
Grid Jigsaw Representation with CLIP: A New Perspective on Image Clustering
Zijie Song
Zhenzhen Hu
Richang Hong
SSL
33
0
0
27 Oct 2023
CAST: Cluster-Aware Self-Training for Tabular Data
CAST: Cluster-Aware Self-Training for Tabular Data
Minwook Kim
Juseong Kim
Kibeom Kim
Giltae Song
15
0
0
10 Oct 2023
Snapshot Spectral Clustering -- a costless approach to deep clustering
  ensembles generation
Snapshot Spectral Clustering -- a costless approach to deep clustering ensembles generation
Adam Piróg
Halina Kwasnicka
14
1
0
17 Jul 2023
DivClust: Controlling Diversity in Deep Clustering
DivClust: Controlling Diversity in Deep Clustering
Ioannis Maniadis Metaxas
Georgios Tzimiropoulos
Ioannis Patras
19
16
0
03 Apr 2023
Follow Us and Become Famous! Insights and Guidelines From Instagram
  Engagement Mechanisms
Follow Us and Become Famous! Insights and Guidelines From Instagram Engagement Mechanisms
Pier Paolo Tricomi
Marco Chilese
Mauro Conti
A. Sadeghi
6
8
0
17 Jan 2023
On the Robustness of Deep Clustering Models: Adversarial Attacks and
  Defenses
On the Robustness of Deep Clustering Models: Adversarial Attacks and Defenses
Anshuman Chhabra
Ashwin Sekhari
P. Mohapatra
OOD
AAML
22
8
0
04 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
Multi-level Feature Learning for Contrastive Multi-view Clustering
Multi-level Feature Learning for Contrastive Multi-view Clustering
Jie Xu
Huayi Tang
Yazhou Ren
Liang Peng
Xiao-lan Zhu
Lifang He
13
158
0
21 Jun 2021
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
244
1,279
0
06 Mar 2017
1