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Learning to Compose Hypercolumns for Visual Correspondence

Learning to Compose Hypercolumns for Visual Correspondence

21 July 2020
Juhong Min
Jongmin Lee
Jean Ponce
Minsu Cho
    OCL
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Papers citing "Learning to Compose Hypercolumns for Visual Correspondence"

17 / 17 papers shown
Title
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
53
5
0
17 Mar 2024
Telling Left from Right: Identifying Geometry-Aware Semantic
  Correspondence
Telling Left from Right: Identifying Geometry-Aware Semantic Correspondence
Junyi Zhang
Charles Herrmann
Junhwa Hur
Eric Chen
Varun Jampani
Deqing Sun
Ming-Hsuan Yang
28
37
0
28 Nov 2023
Diffusion Hyperfeatures: Searching Through Time and Space for Semantic
  Correspondence
Diffusion Hyperfeatures: Searching Through Time and Space for Semantic Correspondence
Grace Luo
Lisa Dunlap
Dong Huk Park
Aleksander Holynski
Trevor Darrell
42
119
0
23 May 2023
Quaternion-valued Correlation Learning for Few-Shot Semantic
  Segmentation
Quaternion-valued Correlation Learning for Few-Shot Semantic Segmentation
Zewen Zheng
Guoheng Huang
Xiaochen Yuan
Chi-Man Pun
Hongzhi Liu
Wing-Kuen Ling
40
22
0
12 May 2023
Neural Congealing: Aligning Images to a Joint Semantic Atlas
Neural Congealing: Aligning Images to a Joint Semantic Atlas
Dolev Ofri-Amar
Michal Geyer
Yoni Kasten
Tali Dekel
26
20
0
08 Feb 2023
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
47
4
0
19 Sep 2022
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot
  Segmentation
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation
Sunghwan Hong
Seokju Cho
Jisu Nam
Stephen Lin
Seung Wook Kim
ViT
26
123
0
22 Jul 2022
Self-Supervised Equivariant Learning for Oriented Keypoint Detection
Self-Supervised Equivariant Learning for Oriented Keypoint Detection
Jongmin Lee
Byung-soo Kim
Minsu Cho
3DPC
37
35
0
19 Apr 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
29
31
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
29
34
0
14 Feb 2022
Cost Aggregation Is All You Need for Few-Shot Segmentation
Cost Aggregation Is All You Need for Few-Shot Segmentation
Sunghwan Hong
Seokju Cho
Jisu Nam
Seungryong Kim
ViT
31
23
0
22 Dec 2021
GAN-Supervised Dense Visual Alignment
GAN-Supervised Dense Visual Alignment
William S. Peebles
Jun-Yan Zhu
Richard Y. Zhang
Antonio Torralba
Alexei A. Efros
Eli Shechtman
37
67
0
09 Dec 2021
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
88
15
0
22 Sep 2021
Relational Embedding for Few-Shot Classification
Relational Embedding for Few-Shot Classification
Dahyun Kang
Heeseung Kwon
Juhong Min
Minsu Cho
39
185
0
22 Aug 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
26
86
0
04 Jun 2021
Hypercorrelation Squeeze for Few-Shot Segmentation
Hypercorrelation Squeeze for Few-Shot Segmentation
Juhong Min
Dahyun Kang
Minsu Cho
34
288
0
04 Apr 2021
Convolutional Hough Matching Networks
Convolutional Hough Matching Networks
Juhong Min
Minsu Cho
23
65
0
31 Mar 2021
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