ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1704.04749
  4. Cited By
AnchorNet: A Weakly Supervised Network to Learn Geometry-sensitive
  Features For Semantic Matching

AnchorNet: A Weakly Supervised Network to Learn Geometry-sensitive Features For Semantic Matching

16 April 2017
David Novotny
Diane Larlus
Andrea Vedaldi
    3DPC
ArXivPDFHTML

Papers citing "AnchorNet: A Weakly Supervised Network to Learn Geometry-sensitive Features For Semantic Matching"

20 / 20 papers shown
Title
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
Weakly Supervised Keypoint Discovery
Weakly Supervised Keypoint Discovery
Serim Ryou
Pietro Perona
21
7
0
28 Sep 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
The Functional Correspondence Problem
The Functional Correspondence Problem
Zihang Lai
Senthil Purushwalkam
Abhinav Gupta
43
13
0
02 Sep 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
Co-Attention for Conditioned Image Matching
Co-Attention for Conditioned Image Matching
Olivia Wiles
Sébastien Ehrhardt
Andrew Zisserman
VLM
24
13
0
16 Jul 2020
Deep Semantic Matching with Foreground Detection and Cycle-Consistency
Deep Semantic Matching with Foreground Detection and Cycle-Consistency
Yun-Chun Chen
Po-Hsiang Huang
Li-Yu Yu
Jia-Bin Huang
Ming-Hsuan Yang
Yen-Yu Lin
30
26
0
31 Mar 2020
Distributed and Consistent Multi-Image Feature Matching via QuickMatch
Distributed and Consistent Multi-Image Feature Matching via QuickMatch
Zachary Serlin
Guang Yang
Brandon Sookraj
C. Belta
Roberto Tron
14
11
0
29 Oct 2019
Pretraining boosts out-of-domain robustness for pose estimation
Pretraining boosts out-of-domain robustness for pose estimation
Alexander Mathis
Thomas Biasi
Steffen Schneider
Mert Yüksekgönül
Byron Rogers
Matthias Bethge
Mackenzie W. Mathis
OOD
30
122
0
24 Sep 2019
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
13
43
0
13 Jun 2019
Unsupervised Part-Based Disentangling of Object Shape and Appearance
Unsupervised Part-Based Disentangling of Object Shape and Appearance
Dominik Lorenz
Leonard Bereska
Timo Milbich
Bjorn Ommer
OCL
DRL
33
147
0
16 Mar 2019
Grounded Human-Object Interaction Hotspots from Video
Grounded Human-Object Interaction Hotspots from Video
Tushar Nagarajan
Christoph Feichtenhofer
Kristen Grauman
29
159
0
11 Dec 2018
Self-supervised learning of a facial attribute embedding from video
Self-supervised learning of a facial attribute embedding from video
Olivia Wiles
A. Sophia Koepke
Andrew Zisserman
CVBM
SSL
24
132
0
21 Aug 2018
PARN: Pyramidal Affine Regression Networks for Dense Semantic
  Correspondence
PARN: Pyramidal Affine Regression Networks for Dense Semantic Correspondence
Sangryul Jeon
Seungryong Kim
Dongbo Min
Kwanghoon Sohn
23
62
0
09 Jul 2018
Towards Interpretable Face Recognition
Towards Interpretable Face Recognition
Bangjie Yin
Luan Tran
Haoxiang Li
Xiaohui Shen
Xiaoming Liu
CVBM
22
82
0
02 May 2018
Unsupervised Discovery of Object Landmarks as Structural Representations
Unsupervised Discovery of Object Landmarks as Structural Representations
Y. Zhang
Yijie Guo
Yixin Jin
Yijun Luo
Zhiyuan He
Honglak Lee
OCL
41
194
0
12 Apr 2018
Self-supervised Learning of Geometrically Stable Features Through
  Probabilistic Introspection
Self-supervised Learning of Geometrically Stable Features Through Probabilistic Introspection
David Novotny
Samuel Albanie
Diane Larlus
Andrea Vedaldi
SSL
30
65
0
04 Apr 2018
Unsupervised learning of object landmarks by factorized spatial
  embeddings
Unsupervised learning of object landmarks by factorized spatial embeddings
James Thewlis
Hakan Bilen
Andrea Vedaldi
OCL
SSL
17
161
0
05 May 2017
MatConvNet - Convolutional Neural Networks for MATLAB
MatConvNet - Convolutional Neural Networks for MATLAB
Andrea Vedaldi
Karel Lenc
189
2,946
0
15 Dec 2014
Deep convolutional filter banks for texture recognition and segmentation
Deep convolutional filter banks for texture recognition and segmentation
Mircea Cimpoi
Subhransu Maji
Andrea Vedaldi
3DV
34
53
0
25 Nov 2014
1