Unifying Feature and Cost Aggregation with Transformers for Semantic and Visual Correspondence

17 March 2024

Papers citing "Unifying Feature and Cost Aggregation with Transformers for Semantic and Visual Correspondence"

41 / 41 papers shown

Title
Unifying Flow, Stereo and Depth Estimation Haofei Xu Jing Zhang Jianfei Cai Hamid Rezatofighi Feng Yu Dacheng Tao Andreas Geiger MDE 97 213 0 10 Nov 2022
ECO-TR: Efficient Correspondences Finding Via Coarse-to-Fine Refinement Donglin Tan Jiangjiang Liu Xingyu Chen Chao Chen Ruixin Zhang Yunhang Shen Shouhong Ding Rongrong Ji 62 24 0 25 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 79 131 0 22 Jul 2022
TransforMatcher: Match-to-Match Attention for Semantic Correspondence Seungwook Kim Juhong Min Minsu Cho ViT 98 34 0 23 May 2022
FlowFormer: A Transformer Architecture for Optical Flow Zhaoyang Huang Xiaoyu Shi Chao Zhang Qiang Wang Ka Chun Cheung Hongwei Qin Jifeng Dai Hongsheng Li ViT 79 283 0 30 Mar 2022
Probabilistic Warp Consistency for Weakly-Supervised Semantic Correspondences Prune Truong Martin Danelljan Feng Yu Luc Van Gool 54 33 0 08 Mar 2022
Deep ViT Features as Dense Visual Descriptors Shirzad Amir Yossi Gandelsman Shai Bagon Tali Dekel MDE ViT 104 287 0 10 Dec 2021
GAN-Supervised Dense Visual Alignment William S. Peebles Jun-Yan Zhu Richard Y. Zhang Antonio Torralba Alexei A. Efros Eli Shechtman 72 67 0 09 Dec 2021
GMFlow: Learning Optical Flow via Global Matching Haofei Xu Jing Zhang Jianfei Cai Hamid Rezatofighi Dacheng Tao 101 361 0 26 Nov 2021
Fastformer: Additive Attention Can Be All You Need Chuhan Wu Fangzhao Wu Tao Qi Yongfeng Huang Xing Xie 83 119 0 20 Aug 2021
Multi-scale Matching Networks for Semantic Correspondence Dongyang Zhao Ziyang Song Zhenghao Ji Gangming Zhao Weifeng Ge Yizhou Yu 64 49 0 31 Jul 2021
Deep Matching Prior: Test-Time Optimization for Dense Correspondence Sunghwan Hong Seungryong Kim 73 27 0 06 Jun 2021
CATs: Cost Aggregation Transformers for Visual Correspondence Seokju Cho Sunghwan Hong Sangryul Jeon Yunsung Lee Kwanghoon Sohn Seungryong Kim ViT 72 89 0 04 Jun 2021
COTR: Correspondence Transformer for Matching Across Images Wei Jiang Eduard Trulls J. Hosang Andrea Tagliasacchi K. M. Yi ViT 80 263 0 25 Mar 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows Ze Liu Yutong Lin Yue Cao Han Hu Yixuan Wei Zheng Zhang Stephen Lin B. Guo ViT 447 21,418 0 25 Mar 2021
GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural Network Prune Truong Martin Danelljan Luc Van Gool Radu Timofte 68 77 0 16 Sep 2020
Learning to Compose Hypercolumns for Visual Correspondence Juhong Min Jongmin Lee Jean Ponce Minsu Cho OCL 63 78 0 21 Jul 2020
Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention Angelos Katharopoulos Apoorv Vyas Nikolaos Pappas Franccois Fleuret 201 1,765 0 29 Jun 2020
Linformer: Self-Attention with Linear Complexity Sinong Wang Belinda Z. Li Madian Khabsa Han Fang Hao Ma 210 1,702 0 08 Jun 2020
AdaStereo: A Simple and Efficient Approach for Adaptive Stereo Matching Xiao-yang Song Guorun Yang Xinge Zhu Hui Zhou Zhe Wang Jianping Shi 63 68 0 09 Apr 2020
RANSAC-Flow: generic two-stage image alignment Xi Shen Franccois Darmon Alexei A. Efros Mathieu Aubry 56 88 0 03 Apr 2020
Correspondence Networks with Adaptive Neighbourhood Consensus Shuda Li Kai Han Theo W. Costain Henry Howard-Jenkins V. Prisacariu 3DV 46 86 0 26 Mar 2020
SuperGlue: Learning Feature Matching with Graph Neural Networks Paul-Edouard Sarlin Daniel DeTone Tomasz Malisiewicz Andrew Rabinovich 3DPC OffRL 109 1,933 0 26 Nov 2019
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features Juhong Min Jongmin Lee Jean Ponce Minsu Cho 76 108 0 18 Aug 2019
R2D2: Repeatable and Reliable Detector and Descriptor Jérôme Revaud Philippe Weinzaepfel César Roberto de Souza Noé Pion G. Csurka Yohann Cabon Martin Humenberger 78 478 0 14 Jun 2019
D2-Net: A Trainable CNN for Joint Detection and Description of Local Features Mihai Dusmanu Ignacio Rocco Tomas Pajdla Marc Pollefeys Josef Sivic Akihiko Torii Torsten Sattler 50 686 0 09 May 2019
SFNet: Learning Object-aware Semantic Correspondence Junghyup Lee Dohyung Kim Jean Ponce Bumsub Ham 3DPC 67 141 0 03 Apr 2019
Albumentations: fast and flexible image augmentations A. Buslaev Alex Parinov Eugene Khvedchenya V. Iglovikov Alexandr A Kalinin 142 1,974 0 18 Sep 2018
PARN: Pyramidal Affine Regression Networks for Dense Semantic Correspondence Sangryul Jeon Seungryong Kim Dongbo Min Kwanghoon Sohn 111 63 0 09 Jul 2018
MegaDepth: Learning Single-View Depth Prediction from Internet Photos Zhengqi Li Noah Snavely MDE 3DV 104 1,018 0 02 Apr 2018
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume Deqing Sun Xiaodong Yang Ming-Yuan Liu Jan Kautz 3DPC 251 2,444 0 07 Sep 2017
HPatches: A benchmark and evaluation of handcrafted and learned local descriptors Vassileios Balntas Karel Lenc Andrea Vedaldi K. Mikolajczyk 103 720 0 19 Apr 2017
Proposal Flow: Semantic Correspondences from Object Proposals Bumsub Ham Minsu Cho Cordelia Schmid Jean Ponce 112 135 0 21 Mar 2017
Convolutional neural network architecture for geometric matching Ignacio Rocco Relja Arandjelović Josef Sivic 99 545 0 16 Mar 2017
Semantic Understanding of Scenes through the ADE20K Dataset Bolei Zhou Hang Zhao Xavier Puig Tete Xiao Sanja Fidler Adela Barriuso Antonio Torralba SSeg 399 1,876 0 18 Aug 2016
Layer Normalization Jimmy Lei Ba J. Kiros Geoffrey E. Hinton 410 10,482 0 21 Jul 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele 1.1K 11,609 0 06 Apr 2016
Unsupervised Object Discovery and Localization in the Wild: Part-based Matching with Bottom-up Region Proposals Minsu Cho Suha Kwak Cordelia Schmid Jean Ponce 80 280 0 25 Jan 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.6K 100,348 0 04 Sep 2014
Neural Machine Translation by Jointly Learning to Align and Translate Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio AIMat 552 27,300 0 01 Sep 2014
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 413 43,638 0 01 May 2014