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Self-Supervised Visual Representation Learning from Hierarchical
  Grouping

Self-Supervised Visual Representation Learning from Hierarchical Grouping

Neural Information Processing Systems (NeurIPS), 2020
5 December 2020
Xiao Zhang
Michael Maire
    SSL
ArXiv (abs)PDFHTML

Papers citing "Self-Supervised Visual Representation Learning from Hierarchical Grouping"

50 / 56 papers shown
Region-CAM: Towards Accurate Object Regions in Class Activation Maps for Weakly Supervised Learning Tasks
Region-CAM: Towards Accurate Object Regions in Class Activation Maps for Weakly Supervised Learning Tasks
Qingdong Cai
Charith Abhayaratne
WSOLVLM
373
0
0
29 Oct 2025
HCCM: Hierarchical Cross-Granularity Contrastive and Matching Learning for Natural Language-Guided Drones
HCCM: Hierarchical Cross-Granularity Contrastive and Matching Learning for Natural Language-Guided Drones
Hao Ruan
Jinliang Lin
Yingxin Lai
Zhiming Luo
Shaozi Li
VLM
201
1
0
29 Aug 2025
Compositional Entailment Learning for Hyperbolic Vision-Language Models
Compositional Entailment Learning for Hyperbolic Vision-Language ModelsInternational Conference on Learning Representations (ICLR), 2024
Avik Pal
Max van Spengler
Guido Maria DÁmely di Melendugno
Alessandro Flaborea
Fabio Galasso
Pascal Mettes
CoGe
512
50
0
09 Oct 2024
Improving Object Detection via Local-global Contrastive Learning
Improving Object Detection via Local-global Contrastive LearningBritish Machine Vision Conference (BMVC), 2024
Danai Triantafyllidou
Sarah Parisot
A. Leonardis
Jingyu Sun
367
2
0
07 Oct 2024
Embed and Emulate: Contrastive representations for simulation-based
  inference
Embed and Emulate: Contrastive representations for simulation-based inference
Ruoxi Jiang
Peter Y. Lu
Rebecca Willett
281
2
0
27 Sep 2024
Joint-Embedding Predictive Architecture for Self-Supervised Learning of
  Mask Classification Architecture
Joint-Embedding Predictive Architecture for Self-Supervised Learning of Mask Classification Architecture
Donghee Kim
Sungduk Cho
Hyeonwoo Cho
Chanmin Park
Jinyoung Kim
Won Hwa Kim
341
0
0
15 Jul 2024
ALPS: An Auto-Labeling and Pre-training Scheme for Remote Sensing
  Segmentation With Segment Anything Model
ALPS: An Auto-Labeling and Pre-training Scheme for Remote Sensing Segmentation With Segment Anything Model
Song Zhang
Qingzhong Wang
Junyi Liu
Haoyi Xiong
397
9
0
16 Jun 2024
LaneCorrect: Self-supervised Lane Detection
LaneCorrect: Self-supervised Lane Detection
Ming-Jun Nie
Xinyue Cai
Han Xu
Li Zhang
SSL
432
7
0
23 Apr 2024
EAGLE: Eigen Aggregation Learning for Object-Centric Unsupervised
  Semantic Segmentation
EAGLE: Eigen Aggregation Learning for Object-Centric Unsupervised Semantic Segmentation
Chanyoung Kim
Woojung Han
Dayun Ju
Seong Jae Hwang
473
33
0
03 Mar 2024
A Phase Transition in Diffusion Models Reveals the Hierarchical Nature
  of Data
A Phase Transition in Diffusion Models Reveals the Hierarchical Nature of Data
Antonio Sclocchi
Alessandro Favero
Matthieu Wyart
DiffM
317
67
0
26 Feb 2024
A Lightweight Clustering Framework for Unsupervised Semantic
  Segmentation
A Lightweight Clustering Framework for Unsupervised Semantic Segmentation
Yau Shing Jonathan Cheung
Xi Chen
Lihe Yang
Hengshuang Zhao
380
3
0
30 Nov 2023
Structural Adversarial Objectives for Self-Supervised Representation
  Learning
Structural Adversarial Objectives for Self-Supervised Representation Learning
Xiao Zhang
Michael Maire
468
2
0
30 Sep 2023
Factorized Diffusion Architectures for Unsupervised Image Generation and
  Segmentation
Factorized Diffusion Architectures for Unsupervised Image Generation and SegmentationNeural Information Processing Systems (NeurIPS), 2023
Xin Yuan
Michael Maire
DiffM
385
4
0
27 Sep 2023
Optical Flow boosts Unsupervised Localization and Segmentation
Optical Flow boosts Unsupervised Localization and SegmentationIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023
Xinyu Zhang
Abdeslam Boularias
278
8
0
25 Jul 2023
R-MAE: Regions Meet Masked Autoencoders
R-MAE: Regions Meet Masked AutoencodersInternational Conference on Learning Representations (ICLR), 2023
Duy-Kien Nguyen
Vaibhav Aggarwal
Yanghao Li
Martin R. Oswald
Alexander Kirillov
Cees G. M. Snoek
Xinlei Chen
TPM
347
18
0
08 Jun 2023
Evaluating The Robustness of Self-Supervised Representations to
  Background/Foreground Removal
Evaluating The Robustness of Self-Supervised Representations to Background/Foreground Removal
Xavier F. Cadet
Ranya Aloufi
A. Miranville
S. Ahmadi-Abhari
Hamed Haddadi
306
0
0
02 Jun 2023
Training neural operators to preserve invariant measures of chaotic
  attractors
Training neural operators to preserve invariant measures of chaotic attractorsNeural Information Processing Systems (NeurIPS), 2023
Ruoxi Jiang
Peter Y. Lu
Elena Orlova
Rebecca Willett
AI4TS
486
44
0
01 Jun 2023
CLIP-S$^4$: Language-Guided Self-Supervised Semantic Segmentation
CLIP-S4^44: Language-Guided Self-Supervised Semantic SegmentationComputer Vision and Pattern Recognition (CVPR), 2023
Wenbin He
Suphanut Jamonnak
Liangke Gou
Liu Ren
VLM
464
49
0
01 May 2023
Zero-shot Unsupervised Transfer Instance Segmentation
Zero-shot Unsupervised Transfer Instance Segmentation
Gyungin Shin
Samuel Albanie
Weidi Xie
ISegVLM
358
8
0
27 Apr 2023
Learning Neural Eigenfunctions for Unsupervised Semantic Segmentation
Learning Neural Eigenfunctions for Unsupervised Semantic SegmentationIEEE International Conference on Computer Vision (ICCV), 2023
Zhijie Deng
Yucen Luo
285
7
0
06 Apr 2023
Open-world Instance Segmentation: Top-down Learning with Bottom-up
  Supervision
Open-world Instance Segmentation: Top-down Learning with Bottom-up Supervision
Tarun Kalluri
Weiyao Wang
Heng Wang
Manmohan Chandraker
Lorenzo Torresani
Du Tran
225
10
0
09 Mar 2023
Copy-Pasting Coherent Depth Regions Improves Contrastive Learning for
  Urban-Scene Segmentation
Copy-Pasting Coherent Depth Regions Improves Contrastive Learning for Urban-Scene SegmentationBritish Machine Vision Conference (BMVC), 2022
Liang Zeng
A. Lengyel
Nergis Tomen
Jan van Gemert
AI4TS
219
0
0
25 Nov 2022
Embed and Emulate: Learning to estimate parameters of dynamical systems
  with uncertainty quantification
Embed and Emulate: Learning to estimate parameters of dynamical systems with uncertainty quantificationNeural Information Processing Systems (NeurIPS), 2022
Ruoxi Jiang
Rebecca Willett
217
6
0
03 Nov 2022
ACSeg: Adaptive Conceptualization for Unsupervised Semantic Segmentation
ACSeg: Adaptive Conceptualization for Unsupervised Semantic SegmentationComputer Vision and Pattern Recognition (CVPR), 2022
Kehan Li
Zhennan Wang
Ze-Long Cheng
Runyi Yu
Yian Zhao
Guoli Song
Chang Liu
Li-ming Yuan
Jie Chen
365
49
0
12 Oct 2022
Learning Hierarchical Image Segmentation For Recognition and By
  Recognition
Learning Hierarchical Image Segmentation For Recognition and By RecognitionInternational Conference on Learning Representations (ICLR), 2022
Tsung-Wei Ke
Sangwoo Mo
Stella X. Yu
VLM
576
19
0
01 Oct 2022
Learning Dense Visual Descriptors using Image Augmentations for Robot
  Manipulation Tasks
Learning Dense Visual Descriptors using Image Augmentations for Robot Manipulation TasksConference on Robot Learning (CoRL), 2022
Christian Graf
David B. Adrian
Joshua Weil
Miroslav Gabriel
Philipp Schillinger
Markus Spies
Heiko Neumann
A. Kupcsik
SSL
178
11
0
12 Sep 2022
Probing Visual-Audio Representation for Video Highlight Detection via
  Hard-Pairs Guided Contrastive Learning
Probing Visual-Audio Representation for Video Highlight Detection via Hard-Pairs Guided Contrastive LearningBritish Machine Vision Conference (BMVC), 2022
Shuaicheng Li
Feng Zhang
Kunlin Yang
Lin-Na Liu
Shinan Liu
Jun Hou
Shuai Yi
266
11
0
21 Jun 2022
ReCo: Retrieve and Co-segment for Zero-shot Transfer
ReCo: Retrieve and Co-segment for Zero-shot TransferNeural Information Processing Systems (NeurIPS), 2022
Gyungin Shin
Weidi Xie
Samuel Albanie
VLM
482
141
0
14 Jun 2022
Discovering Object Masks with Transformers for Unsupervised Semantic
  Segmentation
Discovering Object Masks with Transformers for Unsupervised Semantic Segmentation
Wouter Van Gansbeke
Simon Vandenhende
Luc Van Gool
276
64
0
13 Jun 2022
MSR: Making Self-supervised learning Robust to Aggressive Augmentations
MSR: Making Self-supervised learning Robust to Aggressive Augmentations
Ying-Long Bai
Erkun Yang
Zhaoqing Wang
Yuxuan Du
Bo Han
Cheng Deng
Dadong Wang
Tongliang Liu
SSL
257
5
0
04 Jun 2022
Self-Supervised Visual Representation Learning with Semantic Grouping
Self-Supervised Visual Representation Learning with Semantic GroupingNeural Information Processing Systems (NeurIPS), 2022
Xin Wen
Bingchen Zhao
Anlin Zheng
Xinming Zhang
Xiaojuan Qi
SSL
529
91
0
30 May 2022
Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised
  Semantic Segmentation and Localization
Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and LocalizationComputer Vision and Pattern Recognition (CVPR), 2022
Luke Melas-Kyriazi
Christian Rupprecht
Iro Laina
Andrea Vedaldi
351
195
0
16 May 2022
Elucidating Meta-Structures of Noisy Labels in Semantic Segmentation by
  Deep Neural Networks
Elucidating Meta-Structures of Noisy Labels in Semantic Segmentation by Deep Neural Networks
Yaoru Luo
Guo-Shuai Liu
Yuanhao Guo
Ge Yang
NoLa
290
1
0
30 Apr 2022
Self-Supervised Learning of Object Parts for Semantic Segmentation
Self-Supervised Learning of Object Parts for Semantic SegmentationComputer Vision and Pattern Recognition (CVPR), 2022
A. Ziegler
Yuki M. Asano
SSLOCL
416
133
0
27 Apr 2022
Unsupervised Hierarchical Semantic Segmentation with Multiview
  Cosegmentation and Clustering Transformers
Unsupervised Hierarchical Semantic Segmentation with Multiview Cosegmentation and Clustering TransformersComputer Vision and Pattern Recognition (CVPR), 2022
Tsung-Wei Ke
Jyh-Jing Hwang
Yunhui Guo
Xudong Wang
Stella X. Yu
254
58
0
25 Apr 2022
Unsupervised Contrastive Domain Adaptation for Semantic Segmentation
Unsupervised Contrastive Domain Adaptation for Semantic Segmentation
Feihu Zhang
V. Koltun
Juil Sock
René Ranftl
Stephan R. Richter
241
6
0
18 Apr 2022
Open-World Instance Segmentation: Exploiting Pseudo Ground Truth From
  Learned Pairwise Affinity
Open-World Instance Segmentation: Exploiting Pseudo Ground Truth From Learned Pairwise AffinityComputer Vision and Pattern Recognition (CVPR), 2022
Weiyao Wang
Matt Feiszli
Heng Wang
Jitendra Malik
Du Tran
ISeg
174
55
0
12 Apr 2022
Self-supervised Semantic Segmentation Grounded in Visual Concepts
Self-supervised Semantic Segmentation Grounded in Visual ConceptsInternational Joint Conference on Artificial Intelligence (IJCAI), 2022
Wenbin He
William C. Surmeier
A. Shekar
Liangke Gou
Liu Ren
SSL
277
9
0
25 Mar 2022
Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via
  Cross-modal Distillation
Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-modal DistillationEuropean Conference on Computer Vision (ECCV), 2022
Antonín Vobecký
David Hurych
Oriane Siméoni
Spyros Gidaris
Andrei Bursuc
Patrick Pérez
Josef Sivic
3DPC
312
29
0
21 Mar 2022
CYBORGS: Contrastively Bootstrapping Object Representations by Grounding
  in Segmentation
CYBORGS: Contrastively Bootstrapping Object Representations by Grounding in SegmentationEuropean Conference on Computer Vision (ECCV), 2022
Renhao Wang
Hang Zhao
Yang Gao
SSL
306
1
0
17 Mar 2022
UniVIP: A Unified Framework for Self-Supervised Visual Pre-training
UniVIP: A Unified Framework for Self-Supervised Visual Pre-trainingComputer Vision and Pattern Recognition (CVPR), 2022
Zhaowen Li
Yousong Zhu
Fan Yang
Wei Li
Honghui Dong
...
Jiahao Xie
Liwei Wu
Rui Zhao
Ming Tang
Jinqiao Wang
226
45
0
14 Mar 2022
Point-Level Region Contrast for Object Detection Pre-Training
Point-Level Region Contrast for Object Detection Pre-TrainingComputer Vision and Pattern Recognition (CVPR), 2022
Yutong Bai
Xinlei Chen
Alexander Kirillov
Alan Yuille
Alexander C. Berg
3DPC
277
55
0
09 Feb 2022
Linear Variational State-Space Filtering
Linear Variational State-Space Filtering
Daniel Pfrommer
Nikolai Matni
362
1
0
04 Jan 2022
Exploring Pixel-level Self-supervision for Weakly Supervised Semantic
  Segmentation
Exploring Pixel-level Self-supervision for Weakly Supervised Semantic Segmentation
Sung-Hoon Yoon
H. Kweon
Jaeseok Jeong
Hyeonseong Kim
Shinjeong Kim
Kuk-Jin Yoon
154
14
0
10 Dec 2021
Contextualized Spatio-Temporal Contrastive Learning with
  Self-Supervision
Contextualized Spatio-Temporal Contrastive Learning with Self-Supervision
Liangzhe Yuan
Rui Qian
Huayu Chen
Boqing Gong
Florian Schroff
Ming-Hsuan Yang
Hartwig Adam
Ting Liu
AI4TS
281
19
0
09 Dec 2021
ViCE: Improving Dense Representation Learning by Superpixelization and
  Contrasting Cluster Assignment
ViCE: Improving Dense Representation Learning by Superpixelization and Contrasting Cluster Assignment
Robin Karlsson
Tomoki Hayashi
Keisuke Fujii
Alexander Carballo
Kento Ohtani
K. Takeda
SSL
362
5
0
24 Nov 2021
Topological Regularization for Dense Prediction
Topological Regularization for Dense PredictionInternational Conference on Machine Learning and Applications (ICMLA), 2021
Deqing Fu
Bradley J. Nelson
MDE
173
0
0
22 Nov 2021
Self-Supervised Visual Representations Learning by Contrastive Mask
  Prediction
Self-Supervised Visual Representations Learning by Contrastive Mask Prediction
Yucheng Zhao
Guangting Wang
Chong Luo
Wenjun Zeng
Zhengjun Zha
ISegSSL
292
56
0
18 Aug 2021
Revisiting Contrastive Methods for Unsupervised Learning of Visual
  Representations
Revisiting Contrastive Methods for Unsupervised Learning of Visual RepresentationsNeural Information Processing Systems (NeurIPS), 2021
Wouter Van Gansbeke
Simon Vandenhende
Stamatios Georgoulis
Luc Van Gool
SSL
431
75
0
10 Jun 2021
MST: Masked Self-Supervised Transformer for Visual Representation
MST: Masked Self-Supervised Transformer for Visual RepresentationNeural Information Processing Systems (NeurIPS), 2021
Zhaowen Li
Zhiyang Chen
Fan Yang
Wei Li
Yousong Zhu
...
Rui Deng
Liwei Wu
Rui Zhao
Ming Tang
Jinqiao Wang
ViT
287
181
0
10 Jun 2021
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