Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features

18 August 2019

Papers citing "Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features"

25 / 25 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
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
Learning Rotation-Equivariant Features for Visual Correspondence Jongmin Lee Byung-soo Kim Seungwook Kim Minsu Cho SSL 21 23 0 25 Mar 2023
DeDA: Deep Directed Accumulator Hang Zhang Rongguang Wang Renjiu Hu Jinwei Zhang Jiahao Nick Li MedIm 32 4 0 15 Mar 2023
Neural Congealing: Aligning Images to a Joint Semantic Atlas Dolev Ofri-Amar Michal Geyer Yoni Kasten Tali Dekel 26 20 0 08 Feb 2023
Motion Aware Self-Supervision for Generic Event Boundary Detection Ayush K. Rai Tarun Krishna J. Dietlmeier Kevin McGuinness Alan F. Smeaton Noel E. O'Connor 39 2 0 11 Oct 2022
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
Self-Supervised Equivariant Learning for Oriented Keypoint Detection Jongmin Lee Byung-soo Kim Minsu Cho 3DPC 37 35 0 19 Apr 2022
Integrative Few-Shot Learning for Classification and Segmentation Dahyun Kang Minsu Cho VLM 37 59 0 29 Mar 2022
Probabilistic Warp Consistency for Weakly-Supervised Semantic Correspondences Prune Truong Martin Danelljan Feng Yu Luc Van Gool 32 31 0 08 Mar 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
GAN-Supervised Dense Visual Alignment William S. Peebles Jun-Yan Zhu Richard Y. Zhang Antonio Torralba Alexei A. Efros Eli Shechtman 37 67 0 09 Dec 2021
Input-level Inductive Biases for 3D Reconstruction Yifan Wang Carl Doersch Relja Arandjelović João Carreira Andrew Zisserman 3DV 50 24 0 06 Dec 2021
Learning Contrastive Representation for Semantic Correspondence Taihong Xiao Sifei Liu Shalini De Mello Zhiding Yu Jan Kautz Ming-Hsuan Yang SSL 90 15 0 22 Sep 2021
Relational Embedding for Few-Shot Classification Dahyun Kang Heeseung Kwon Juhong Min Minsu Cho 39 185 0 22 Aug 2021
CATs: Cost Aggregation Transformers for Visual Correspondence Seokju Cho Sunghwan Hong Sangryul Jeon Yunsung Lee Kwanghoon Sohn Seungryong Kim ViT 26 86 0 04 Jun 2021
Hypercorrelation Squeeze for Few-Shot Segmentation Juhong Min Dahyun Kang Minsu Cho 34 288 0 04 Apr 2021
Convolutional Hough Matching Networks Juhong Min Minsu Cho 23 65 0 31 Mar 2021
Robust Image Matching By Dynamic Feature Selection Hao Huang Jianchun Chen Xiang Li Lingjing Wang Yi Fang 16 3 0 13 Aug 2020
MotionSqueeze: Neural Motion Feature Learning for Video Understanding Heeseung Kwon Manjin Kim Suha Kwak Minsu Cho FAtt 20 128 0 20 Jul 2020
Deep Hough-Transform Line Priors Yancong Lin S. Pintea Jan van Gemert 31 74 0 18 Jul 2020
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
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 274 5,331 0 05 Nov 2016