PARN: Pyramidal Affine Regression Networks for Dense Semantic
Correspondence

PARN: Pyramidal Affine Regression Networks for Dense Semantic Correspondence

9 July 2018

Dongbo Min

Papers citing "PARN: Pyramidal Affine Regression Networks for Dense Semantic Correspondence"

10 / 10 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 51 5 0 17 Mar 2024
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 41 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 42 4 0 19 Sep 2022
CoordGAN: Self-Supervised Dense Correspondences Emerge from GANs Jiteng Mu Shalini De Mello Zhiding Yu Nuno Vasconcelos Xinyu Wang Jan Kautz Sifei Liu GAN 27 18 0 30 Mar 2022
Probabilistic Warp Consistency for Weakly-Supervised Semantic Correspondences Prune Truong Martin Danelljan F. I. F. Richard Yu Luc Van Gool 17 31 0 08 Mar 2022
CATs++: Boosting Cost Aggregation with Convolutions and Transformers Seokju Cho Sunghwan Hong Seung Wook Kim ViT 27 34 0 14 Feb 2022
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
Convolutional Hough Matching Networks Juhong Min Minsu Cho 15 65 0 31 Mar 2021
GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural Network Prune Truong Martin Danelljan Luc Van Gool Radu Timofte 19 76 0 16 Sep 2020
Learning Feature Descriptors using Camera Pose Supervision Qianqian Wang Xiaowei Zhou B. Hariharan Noah Snavely SSL 17 161 0 28 Apr 2020