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. 2108.00211
  4. Cited By
Multi-scale Matching Networks for Semantic Correspondence

Multi-scale Matching Networks for Semantic Correspondence

31 July 2021
Dongyang Zhao
Ziyang Song
Zhenghao Ji
Gangming Zhao
Weifeng Ge
Yizhou Yu
ArXivPDFHTML

Papers citing "Multi-scale Matching Networks for Semantic Correspondence"

7 / 7 papers shown
Title
PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasks
PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasks
Philip Matthias Winter
M. Wimmer
David Major
Dimitrios Lenis
Astrid Berg
Theresa Neubauer
Gaia Romana De Paolis
Johannes Novotny
Sophia Ulonska
Katja Bühler
34
0
0
18 Mar 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
51
5
0
17 Mar 2024
VGTS: Visually Guided Text Spotting for Novel Categories in Historical
  Manuscripts
VGTS: Visually Guided Text Spotting for Novel Categories in Historical Manuscripts
Wenjie Hu
Hongjian Zhan
Xinchen Ma
Cong Liu
Bing Yin
Yue Lu
14
0
0
03 Apr 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
42
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
19
122
0
22 Jul 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
19
34
0
14 Feb 2022
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
294
10,216
0
16 Nov 2016
1