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Match me if you can: Semantic Correspondence Learning with Unpaired
  Images

Match me if you can: Semantic Correspondence Learning with Unpaired Images

30 November 2023
Jiwon Kim
Byeongho Heo
Sangdoo Yun
Seungryong Kim
Dongyoon Han
ArXiv (abs)PDFHTML

Papers citing "Match me if you can: Semantic Correspondence Learning with Unpaired Images"

21 / 21 papers shown
Title
Semi-Supervised Learning of Semantic Correspondence with Pseudo-Labels
Semi-Supervised Learning of Semantic Correspondence with Pseudo-Labels
Jiwon Kim
Kwang-seok Ryoo
Junyoung Seo
Gyuseong Lee
Daehwan Kim
Hansang Cho
Seung Wook Kim
50
26
0
30 Mar 2022
Dash: Semi-Supervised Learning with Dynamic Thresholding
Dash: Semi-Supervised Learning with Dynamic Thresholding
Yi Tian Xu
Lei Shang
Jinxing Ye
Qi Qian
Yu-Feng Li
Baigui Sun
Hao Li
Rong Jin
98
225
0
01 Sep 2021
Multi-scale Matching Networks for Semantic Correspondence
Multi-scale Matching Networks for Semantic Correspondence
Dongyang Zhao
Ziyang Song
Zhenghao Ji
Gangming Zhao
Weifeng Ge
Yizhou Yu
72
49
0
31 Jul 2021
Hypercorrelation Squeeze for Few-Shot Segmentation
Hypercorrelation Squeeze for Few-Shot Segmentation
Juhong Min
Dahyun Kang
Minsu Cho
86
296
0
04 Apr 2021
EfficientNetV2: Smaller Models and Faster Training
EfficientNetV2: Smaller Models and Faster Training
Mingxing Tan
Quoc V. Le
EgoV
122
2,705
0
01 Apr 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label
  Selection Framework for Semi-Supervised Learning
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning
Mamshad Nayeem Rizve
Kevin Duarte
Yogesh S Rawat
M. Shah
311
519
0
15 Jan 2021
Re-labeling ImageNet: from Single to Multi-Labels, from Global to
  Localized Labels
Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels
Sangdoo Yun
Seong Joon Oh
Byeongho Heo
Dongyoon Han
Junsuk Choe
Sanghyuk Chun
481
146
0
13 Jan 2021
Learning to Compose Hypercolumns for Visual Correspondence
Learning to Compose Hypercolumns for Visual Correspondence
Juhong Min
Jongmin Lee
Jean Ponce
Minsu Cho
OCL
65
78
0
21 Jul 2020
Reference-Based Sketch Image Colorization using Augmented-Self Reference
  and Dense Semantic Correspondence
Reference-Based Sketch Image Colorization using Augmented-Self Reference and Dense Semantic Correspondence
Junsoo Lee
Eungyeup Kim
Yunsung Lee
Dongjun Kim
Jaehyuk Chang
Jaegul Choo
DiffM
109
153
0
11 May 2020
Correspondence Networks with Adaptive Neighbourhood Consensus
Correspondence Networks with Adaptive Neighbourhood Consensus
Shuda Li
Kai Han
Theo W. Costain
Henry Howard-Jenkins
V. Prisacariu
3DV
51
87
0
26 Mar 2020
Meta Pseudo Labels
Meta Pseudo Labels
Hieu H. Pham
Zihang Dai
Qizhe Xie
Minh-Thang Luong
Quoc V. Le
VLM
343
669
0
23 Mar 2020
SuperGlue: Learning Feature Matching with Graph Neural Networks
SuperGlue: Learning Feature Matching with Graph Neural Networks
Paul-Edouard Sarlin
Daniel DeTone
Tomasz Malisiewicz
Andrew Rabinovich
3DPCOffRL
118
1,935
0
26 Nov 2019
Self-training with Noisy Student improves ImageNet classification
Self-training with Noisy Student improves ImageNet classification
Qizhe Xie
Minh-Thang Luong
Eduard H. Hovy
Quoc V. Le
NoLa
307
2,387
0
11 Nov 2019
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural
  Features
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features
Juhong Min
Jongmin Lee
Jean Ponce
Minsu Cho
79
108
0
18 Aug 2019
Unsupervised Data Augmentation for Consistency Training
Unsupervised Data Augmentation for Consistency Training
Qizhe Xie
Zihang Dai
Eduard H. Hovy
Minh-Thang Luong
Quoc V. Le
135
2,316
0
29 Apr 2019
SFNet: Learning Object-aware Semantic Correspondence
SFNet: Learning Object-aware Semantic Correspondence
Junghyup Lee
Dohyung Kim
Jean Ponce
Bumsub Ham
3DPC
69
141
0
03 Apr 2019
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume
Deqing Sun
Xiaodong Yang
Ming-Yuan Liu
Jan Kautz
3DPC
254
2,445
0
07 Sep 2017
Proposal Flow: Semantic Correspondences from Object Proposals
Proposal Flow: Semantic Correspondences from Object Proposals
Bumsub Ham
Minsu Cho
Cordelia Schmid
Jean Ponce
112
135
0
21 Mar 2017
Convolutional neural network architecture for geometric matching
Convolutional neural network architecture for geometric matching
Ignacio Rocco
Relja Arandjelović
Josef Sivic
99
545
0
16 Mar 2017
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
Eddy Ilg
N. Mayer
Tonmoy Saikia
Margret Keuper
Alexey Dosovitskiy
Thomas Brox
3DPC
255
3,081
0
06 Dec 2016
Semi-Supervised Learning with Ladder Networks
Semi-Supervised Learning with Ladder Networks
Antti Rasmus
Harri Valpola
Mikko Honkala
Mathias Berglund
T. Raiko
SSL
96
1,372
0
09 Jul 2015
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