Search Results for author: Canqun Xiang

Found 5 papers, 2 papers with code

DPR-CAE: Capsule Autoencoder with Dynamic Part Representation for Image Parsing

no code implementations30 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.

Translation

ASPCNet: A Deep Adaptive Spatial Pattern Capsule Network for Hyperspectral Image Classification

no code implementations25 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.

General Classification Hyperspectral Image Classification

MMA Regularization: Decorrelating Weights of Neural Networks by Maximizing the Minimal Angles

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.

Face Verification

SAIS: Single-stage Anchor-free Instance Segmentation

no code implementations3 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.

Instance Segmentation regression +1

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