no code implementations • 30 Apr 2021 • Canqun Xiang, Zhennan Wang, Wenbin Zou, Chen Xu
Parsing an image into a hierarchy of objects, parts, and relations is important and also challenging in many computer vision tasks.
no code implementations • 25 Apr 2021 • Jinping Wang, Xiaojun Tan, JianHuang Lai, Jun Li, Canqun Xiang
Based on this observation, this paper proposes an adaptive spatial pattern capsule network (ASPCNet) architecture by developing an adaptive spatial pattern (ASP) unit, that can rotate the sampling location of convolutional kernels on the basis of an enlarged receptive field.
1 code implementation • NeurIPS 2020 • Zhennan Wang, Canqun Xiang, Wenbin Zou, Chen Xu
Extensive experiments demonstrate that MMA regularization is able to enhance the generalization ability of various modern models and achieves considerable performance improvements on CIFAR100 and TinyImageNet datasets.
no code implementations • 3 Dec 2019 • Canqun Xiang, Shishun Tian, Wenbin Zou, Chen Xu
In this paper, we propose a simple yet efficientinstance segmentation approach based on the single-stage anchor-free detector, termed SAIS.
1 code implementation • The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2019 2019 • Di Wu, Zhaoyong Zhuang, Canqun Xiang, Wenbin Zou and Xia Li
We present a conceptually simple framework for 6DoF object pose estimation, especially for autonomous driving scenario.