Convolutional Hough Matching Networks for Robust and Efficient Visual Correspondence

11 September 2021

Papers citing "Convolutional Hough Matching Networks for Robust and Efficient Visual Correspondence"

9 / 9 papers shown

Title
Unifying Feature and Cost Aggregation with Transformers for Semantic and Visual Correspondence Sung‐Jin Hong Seokju Cho Seungryong Kim Stephen Lin ViT 56 5 0 17 Mar 2024
Unsupervised Semantic Correspondence Using Stable Diffusion Eric Hedlin Gopal Sharma Shweta Mahajan Hossam N. Isack Abhishek Kar Andrea Tagliasacchi K. M. Yi DiffM 52 86 0 24 May 2023
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 Sunghwan Hong Seokju Cho Jisu Nam Stephen Lin Seung Wook Kim ViT 29 123 0 22 Jul 2022
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 Sunghwan Hong Seokju Cho Jisu Nam Seungryong Kim ViT 31 23 0 22 Dec 2021
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 950 20,613 0 17 Apr 2017
Hough-CNN: Deep Learning for Segmentation of Deep Brain Regions in MRI and Ultrasound Fausto Milletari Seyed-Ahmad Ahmadi Christine Kroll A. Plate Verena E. Rozanski ... J. Levin O. Dietrich B. Ertl-Wagner K. Boetzel Nassir Navab 200 363 0 26 Jan 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 469 15,657 0 02 Nov 2015