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SFNet: Learning Object-aware Semantic Correspondence

SFNet: Learning Object-aware Semantic Correspondence

3 April 2019
Junghyup Lee
Dohyung Kim
Jean Ponce
Bumsub Ham
    3DPC
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Papers citing "SFNet: Learning Object-aware Semantic Correspondence"

27 / 27 papers shown
Title
MATCHA:Towards Matching Anything
Fei Xue
Sven Elflein
Laura Leal-Taixe
Qunjie Zhou
58
0
0
28 Jan 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
64
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
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
Motion Aware Self-Supervision for Generic Event Boundary Detection
Motion Aware Self-Supervision for Generic Event Boundary Detection
Ayush K. Rai
Tarun Krishna
J. Dietlmeier
Kevin McGuinness
Alan F. Smeaton
Noel E. O'Connor
39
2
0
11 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
47
4
0
19 Sep 2022
Visual correspondence-based explanations improve AI robustness and
  human-AI team accuracy
Visual correspondence-based explanations improve AI robustness and human-AI team accuracy
Giang Nguyen
Mohammad Reza Taesiri
Anh Totti Nguyen
30
42
0
26 Jul 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 Learning of Image Scale and Orientation
Self-Supervised Learning of Image Scale and Orientation
Jongmin Lee
Yoonwoo Jeong
Minsu Cho
SSL
36
16
0
15 Jun 2022
Joint Learning of Feature Extraction and Cost Aggregation for Semantic
  Correspondence
Joint Learning of Feature Extraction and Cost Aggregation for Semantic Correspondence
Jiwon Kim
Youngjo Min
Mira Kim
Seung Wook Kim
FedML
16
0
0
05 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
Sim2Real Object-Centric Keypoint Detection and Description
Sim2Real Object-Centric Keypoint Detection and Description
Chengliang Zhong
Chao Yang
Ji Qi
Gang Hua
Huaping Liu
Xiaodong Mu
Wenbing Huang
3DPC
37
11
0
01 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
Localization with Sampling-Argmax
Localization with Sampling-Argmax
Jiefeng Li
Tong Chen
Ruiqi Shi
Yujing Lou
Yong-Lu Li
Cewu Lu
43
19
0
17 Oct 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
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
Semantics for Robotic Mapping, Perception and Interaction: A Survey
Semantics for Robotic Mapping, Perception and Interaction: A Survey
Sourav Garg
Niko Sünderhauf
Feras Dayoub
D. Morrison
Akansel Cosgun
...
Tat-Jun Chin
Ian Reid
Stephen Gould
Peter Corke
Michael Milford
31
115
0
02 Jan 2021
Positional Encoding as Spatial Inductive Bias in GANs
Positional Encoding as Spatial Inductive Bias in GANs
Rui Xu
Xintao Wang
Kai-xiang Chen
Bolei Zhou
Chen Change Loy
GAN
29
89
0
09 Dec 2020
"What's This?" -- Learning to Segment Unknown Objects from Manipulation
  Sequences
"What's This?" -- Learning to Segment Unknown Objects from Manipulation Sequences
W. Boerdijk
M. Sundermeyer
M. Durner
Rudolph Triebel
19
7
0
06 Nov 2020
Robust Image Matching By Dynamic Feature Selection
Robust Image Matching By Dynamic Feature Selection
Hao Huang
Jianchun Chen
Xiang Li
Lingjing Wang
Yi Fang
16
3
0
13 Aug 2020
MotionSqueeze: Neural Motion Feature Learning for Video Understanding
MotionSqueeze: Neural Motion Feature Learning for Video Understanding
Heeseung Kwon
Manjin Kim
Suha Kwak
Minsu Cho
FAtt
20
128
0
20 Jul 2020
Kernelized Memory Network for Video Object Segmentation
Kernelized Memory Network for Video Object Segmentation
Hongje Seong
Junhyuk Hyun
Euntai Kim
VOS
21
195
0
16 Jul 2020
Cross-domain Correspondence Learning for Exemplar-based Image
  Translation
Cross-domain Correspondence Learning for Exemplar-based Image Translation
Peiying Zhang
Bo Zhang
Dong Chen
Lu Yuan
Fang Wen
33
239
0
12 Apr 2020
Visual Camera Re-Localization from RGB and RGB-D Images Using DSAC
Visual Camera Re-Localization from RGB and RGB-D Images Using DSAC
Eric Brachmann
Carsten Rother
41
220
0
27 Feb 2020
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