Search Results for author: Chang-Bin Zhang

Found 5 papers, 5 papers with code

Representation Compensation Networks for Continual Semantic Segmentation

1 code implementation10 Mar 2022 Chang-Bin Zhang, Jia-Wen Xiao, Xialei Liu, Ying-Cong Chen, Ming-Ming Cheng

In this work, we study the continual semantic segmentation problem, where the deep neural networks are required to incorporate new classes continually without catastrophic forgetting.

class-incremental learning Continual Semantic Segmentation +15

LayerCAM: Exploring Hierarchical Class Activation Maps for Localization

2 code implementations IEEE 2021 Peng-Tao Jiang, Chang-Bin Zhang, Qibin Hou, Ming-Ming Cheng, Yunchao Wei

To evaluate the quality of the class activation maps produced by LayerCAM, we apply them to weakly-supervised object localization and semantic segmentation.

Semantic Segmentation Weakly-Supervised Object Localization

Delving Deep into Label Smoothing

2 code implementations25 Nov 2020 Chang-Bin Zhang, Peng-Tao Jiang, Qibin Hou, Yunchao Wei, Qi Han, Zhen Li, Ming-Ming Cheng

Experiments demonstrate that based on the same classification models, the proposed approach can effectively improve the classification performance on CIFAR-100, ImageNet, and fine-grained datasets.

Classification General Classification

Deep Hough Transform for Semantic Line Detection

1 code implementation ECCV 2020 Kai Zhao, Qi Han, Chang-Bin Zhang, Jun Xu, Ming-Ming Cheng

In addition to the proposed method, we design an evaluation metric to assess the quality of line detection and construct a large scale dataset for the line detection task.

Line Detection

Cannot find the paper you are looking for? You can Submit a new open access paper.