Multi-scale Matching Networks for Semantic Correspondence

Multi-scale Matching Networks for Semantic Correspondence

31 July 2021

Ziyang Song

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 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 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 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 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 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 Seokju Cho Sunghwan Hong Seung Wook Kim ViT 19 34 0 14 Feb 2022
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 297 10,216 0 16 Nov 2016