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PARN: Pyramidal Affine Regression Networks for Dense Semantic
  Correspondence

PARN: Pyramidal Affine Regression Networks for Dense Semantic Correspondence

9 July 2018
Sangryul Jeon
Seungryong Kim
Dongbo Min
Kwanghoon Sohn
ArXivPDFHTML

Papers citing "PARN: Pyramidal Affine Regression Networks for Dense Semantic Correspondence"

14 / 14 papers shown
Title
Semantic Correspondence: Unified Benchmarking and a Strong Baseline
Semantic Correspondence: Unified Benchmarking and a Strong Baseline
Kaiyan Zhang
Xinghui Li
Jingyi Lu
Kai Han
3DV
16
0
0
23 May 2025
SpaceJAM: a Lightweight and Regularization-free Method for Fast Joint Alignment of Images
SpaceJAM: a Lightweight and Regularization-free Method for Fast Joint Alignment of Images
Nir Barel
Ron Shapira Weber
Nir Mualem
Shahaf E. Finder
Oren Freifeld
70
1
0
16 Jul 2024
Unifying Feature and Cost Aggregation with Transformers for Semantic and
  Visual Correspondence
Unifying Feature and Cost Aggregation with Transformers for Semantic and Visual Correspondence
Sung‐Jin Hong
Seokju Cho
Seungryong Kim
Stephen Lin
ViT
56
5
0
17 Mar 2024
Self-Supervised Geometric Correspondence for Category-Level 6D Object
  Pose Estimation in the Wild
Self-Supervised Geometric Correspondence for Category-Level 6D Object Pose Estimation in the Wild
Kaifeng Zhang
Yang Fu
Shubhankar Borse
H. Cai
Fatih Porikli
Xinyu Wang
SSL
3DPC
57
25
0
13 Oct 2022
Integrative Feature and Cost Aggregation with Transformers for Dense
  Correspondence
Integrative Feature and Cost Aggregation with Transformers for Dense Correspondence
Sunghwan Hong
Seokju Cho
Seung Wook Kim
Stephen Lin
3DV
65
5
0
19 Sep 2022
CoordGAN: Self-Supervised Dense Correspondences Emerge from GANs
CoordGAN: Self-Supervised Dense Correspondences Emerge from GANs
Jiteng Mu
Shalini De Mello
Zhiding Yu
Nuno Vasconcelos
Xinyu Wang
Jan Kautz
Sifei Liu
GAN
32
18
0
30 Mar 2022
Probabilistic Warp Consistency for Weakly-Supervised Semantic
  Correspondences
Probabilistic Warp Consistency for Weakly-Supervised Semantic Correspondences
Prune Truong
Martin Danelljan
Feng Yu
Luc Van Gool
32
32
0
08 Mar 2022
CATs++: Boosting Cost Aggregation with Convolutions and Transformers
CATs++: Boosting Cost Aggregation with Convolutions and Transformers
Seokju Cho
Sunghwan Hong
Seung Wook Kim
ViT
40
35
0
14 Feb 2022
Learning Contrastive Representation for Semantic Correspondence
Learning Contrastive Representation for Semantic Correspondence
Taihong Xiao
Sifei Liu
Shalini De Mello
Zhiding Yu
Jan Kautz
Ming-Hsuan Yang
SSL
90
15
0
22 Sep 2021
CATs: Cost Aggregation Transformers for Visual Correspondence
CATs: Cost Aggregation Transformers for Visual Correspondence
Seokju Cho
Sunghwan Hong
Sangryul Jeon
Yunsung Lee
Kwanghoon Sohn
Seungryong Kim
ViT
31
87
0
04 Jun 2021
Convolutional Hough Matching Networks
Convolutional Hough Matching Networks
Juhong Min
Minsu Cho
28
66
0
31 Mar 2021
GOCor: Bringing Globally Optimized Correspondence Volumes into Your
  Neural Network
GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural Network
Prune Truong
Martin Danelljan
Luc Van Gool
Radu Timofte
44
76
0
16 Sep 2020
Learning Feature Descriptors using Camera Pose Supervision
Learning Feature Descriptors using Camera Pose Supervision
Qianqian Wang
Xiaowei Zhou
B. Hariharan
Noah Snavely
SSL
47
161
0
28 Apr 2020
Show, Match and Segment: Joint Weakly Supervised Learning of Semantic
  Matching and Object Co-segmentation
Show, Match and Segment: Joint Weakly Supervised Learning of Semantic Matching and Object Co-segmentation
Yun-Chun Chen
Yen-Yu Lin
Ming-Hsuan Yang
Jia-Bin Huang
31
43
0
13 Jun 2019
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