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Learning Co-segmentation by Segment Swapping for Retrieval and Discovery

Learning Co-segmentation by Segment Swapping for Retrieval and Discovery

29 October 2021
Xi Shen
Alexei A. Efros
Armand Joulin
Mathieu Aubry
ArXivPDFHTML

Papers citing "Learning Co-segmentation by Segment Swapping for Retrieval and Discovery"

15 / 15 papers shown
Title
Unsupervised Object Discovery: A Comprehensive Survey and Unified
  Taxonomy
Unsupervised Object Discovery: A Comprehensive Survey and Unified Taxonomy
José-Fabian Villa-Vásquez
M. Pedersoli
23
1
0
30 Oct 2024
Diffusion Models as Data Mining Tools
Diffusion Models as Data Mining Tools
Ioannis Siglidis
Aleksander Holynski
Alexei A. Efros
Mathieu Aubry
Shiry Ginosar
DiffM
MedIm
23
3
0
20 Jul 2024
Self-supervised co-salient object detection via feature correspondence
  at multiple scales
Self-supervised co-salient object detection via feature correspondence at multiple scales
Souradeep Chakraborty
Dimitris Samaras
23
1
0
17 Mar 2024
Unsupervised and semi-supervised co-salient object detection via
  segmentation frequency statistics
Unsupervised and semi-supervised co-salient object detection via segmentation frequency statistics
Souradeep Chakraborty
Shujon Naha
M. Bastan
Amit Kumar K C
Dimitris Samaras
29
2
0
11 Nov 2023
Fusion of Infrared and Visible Images based on Spatial-Channel
  Attentional Mechanism
Fusion of Infrared and Visible Images based on Spatial-Channel Attentional Mechanism
Qiang Xu
10
0
0
25 Aug 2023
LCCo: Lending CLIP to Co-Segmentation
LCCo: Lending CLIP to Co-Segmentation
Xin Duan
Yan Yang
Liyuan Pan
Xiabi Liu
VLM
27
1
0
22 Aug 2023
DiffusionSeg: Adapting Diffusion Towards Unsupervised Object Discovery
DiffusionSeg: Adapting Diffusion Towards Unsupervised Object Discovery
Chaofan Ma
Yu-Hao Yang
Chen Ju
Feifan Zhang
Jinxian Liu
Yu Wang
Ya-Qin Zhang
Yanfeng Wang
DiffM
25
37
0
17 Mar 2023
TokenCut: Segmenting Objects in Images and Videos with Self-supervised
  Transformer and Normalized Cut
TokenCut: Segmenting Objects in Images and Videos with Self-supervised Transformer and Normalized Cut
Yangtao Wang
Xiaoke Shen
Yuan. Yuan
Yuming Du
Maomao Li
S. Hu
James L. Crowley
Dominique Vaufreydaz
VOS
ViT
15
73
0
01 Sep 2022
Localizing Objects with Self-Supervised Transformers and no Labels
Localizing Objects with Self-Supervised Transformers and no Labels
Oriane Siméoni
Gilles Puy
Huy V. Vo
Simon Roburin
Spyros Gidaris
Andrei Bursuc
P. Pérez
Renaud Marlet
Jean Ponce
ViT
161
195
0
29 Sep 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
283
5,723
0
29 Apr 2021
Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for
  Place Recognition
Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition
Stephen Hausler
Sourav Garg
Ming Xu
Michael Milford
Tobias Fischer
39
328
0
02 Mar 2021
Learning Accurate Dense Correspondences and When to Trust Them
Learning Accurate Dense Correspondences and When to Trust Them
Prune Truong
Martin Danelljan
Luc Van Gool
Radu Timofte
3DH
3DPC
61
125
0
05 Jan 2021
Simple Copy-Paste is a Strong Data Augmentation Method for Instance
  Segmentation
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation
Golnaz Ghiasi
Yin Cui
A. Srinivas
Rui Qian
Tsung-Yi Lin
E. D. Cubuk
Quoc V. Le
Barret Zoph
ISeg
223
962
0
13 Dec 2020
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
235
3,029
0
09 Mar 2020
The Fast Bilateral Solver
The Fast Bilateral Solver
Jonathan T. Barron
Ben Poole
164
371
0
10 Nov 2015
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