Deformable Kernels: Adapting Effective Receptive Fields for Object Deformation

7 October 2019

Papers citing "Deformable Kernels: Adapting Effective Receptive Fields for Object Deformation"

8 / 8 papers shown

Title
MetaGait: Learning to Learn an Omni Sample Adaptive Representation for Gait Recognition Huanzhang Dou Pengyi Zhang Wei Su Yunlong Yu Xi Li CVBM 29 31 0 06 Jun 2023
Adaptive Rotated Convolution for Rotated Object Detection Yifan Pu Yiru Wang Zhuofan Xia Yizeng Han Yulin Wang Weihao Gan Zidong Wang S. Song Gao Huang 23 76 0 14 Mar 2023
Switchable Representation Learning Framework with Self-compatibility Shengsen Wu Yan Bai Yihang Lou Xiongkun Linghu Jianzhong He Ling-yu Duan 22 1 0 16 Jun 2022
AGConv: Adaptive Graph Convolution on 3D Point Clouds Mingqiang Wei Zeyong Wei Hao Zhou Fei-Jiang Hu Huajian Si ... Jingbo Qiu Xu Yan Yan Guo Jun Wang J. Qin 3DPC 21 38 0 09 Jun 2022
Focal Sparse Convolutional Networks for 3D Object Detection Yukang Chen Yanwei Li Xinming Zhang Jian Sun Jiaya Jia 3DPC 45 201 0 26 Apr 2022
K-Net: Towards Unified Image Segmentation Wenwei Zhang Jiangmiao Pang Kai-xiang Chen Chen Change Loy ISeg 32 356 0 28 Jun 2021
SRWarp: Generalized Image Super-Resolution under Arbitrary Transformation Sanghyun Son Kyoung Mu Lee 42 35 0 21 Apr 2021
Dynamic Region-Aware Convolution Jin Chen Xijun Wang Zichao Guo Xinming Zhang Jian Sun 16 116 0 27 Mar 2020