Dynamic Context Correspondence Network for Semantic Alignment

8 September 2019

Papers citing "Dynamic Context Correspondence Network for Semantic Alignment"

20 / 20 papers shown

Title
TREND: Tri-teaching for Robust Preference-based Reinforcement Learning with Demonstrations Shuaiyi Huang Mara Levy Anubhav Gupta Daniel Ekpo Ruijie Zheng Abhinav Shrivastava 33 0 0 09 May 2025
ARDuP: Active Region Video Diffusion for Universal Policies Shuaiyi Huang Mara Levy Zhenyu Jiang Anima Anandkumar Yuke Zhu Linxi Fan De-An Huang Abhinav Shrivastava VGen 55 2 0 19 Jun 2024
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
Quaternion-valued Correlation Learning for Few-Shot Semantic Segmentation Zewen Zheng Guoheng Huang Xiaochen Yuan Chi-Man Pun Hongzhi Liu Wing-Kuen Ling 43 22 0 12 May 2023
Adaptive Spot-Guided Transformer for Consistent Local Feature Matching Jiahuan Yu Jiahao Chang Jianfeng He Tianzhu Zhang Feng Wu 40 20 0 29 Mar 2023
Self-Supervised Geometric Correspondence for Category-Level 6D Object Pose Estimation in the Wild Kaifeng Zhang Yang Fu Shubhankar Borse H. Cai Fatih Porikli Xinyu Wang SSL 3DPC 57 25 0 13 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
Few-shot Fine-grained Image Classification via Multi-Frequency Neighborhood and Double-cross Modulation Hegui Zhu Zhan Gao Jiayi Wang Yangqiaoyu Zhou Chengqing Li 25 6 0 18 Jul 2022
Joint Learning of Feature Extraction and Cost Aggregation for Semantic Correspondence Jiwon Kim Youngjo Min Mira Kim Seung Wook Kim FedML 16 0 0 05 Apr 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
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
Learning Accurate Dense Correspondences and When to Trust Them Prune Truong Martin Danelljan Luc Van Gool Radu Timofte 3DH 3DPC 79 129 0 05 Jan 2021
GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural Network Prune Truong Martin Danelljan Luc Van Gool Radu Timofte 30 76 0 16 Sep 2020