Search Results for author: Mang Wang

Found 8 papers, 5 papers with code

Make Continual Learning Stronger via C-Flat

no code implementations1 Apr 2024 Ang Bian, Wei Li, Hangjie Yuan, Chengrong Yu, Zixiang Zhao, Mang Wang, Aojun Lu, Tao Feng

A general framework of C-Flat applied to all CL categories and a thorough comparison with loss minima optimizer and flat minima based CL approaches is presented in this paper, showing that our method can boost CL performance in almost all cases.

Continual Learning

Progressive Learning without Forgetting

no code implementations28 Nov 2022 Tao Feng, Hangjie Yuan, Mang Wang, Ziyuan Huang, Ang Bian, Jianzhou Zhang

Learning from changing tasks and sequential experience without forgetting the obtained knowledge is a challenging problem for artificial neural networks.

Continual Learning

Overcoming Catastrophic Forgetting in Incremental Object Detection via Elastic Response Distillation

1 code implementation CVPR 2022 Tao Feng, Mang Wang, Hangjie Yuan

In this paper, we propose a response-based incremental distillation method, dubbed Elastic Response Distillation (ERD), which focuses on elastically learning responses from the classification head and the regression head.

Class-Incremental Object Detection Incremental Learning +3

Detecting Human-Object Interactions with Object-Guided Cross-Modal Calibrated Semantics

1 code implementation1 Feb 2022 Hangjie Yuan, Mang Wang, Dong Ni, Liangpeng Xu

Specifically, We propose to utilize a Verb Semantic Model (VSM) and use semantic aggregation to profit from this object-guided hierarchy.

Human-Object Interaction Detection Object +2

Response-based Distillation for Incremental Object Detection

no code implementations26 Oct 2021 Tao Feng, Mang Wang

However, fine-tuning directly on a well-trained detection model with only new data will leads to catastrophic forgetting.

Incremental Learning Knowledge Distillation +4

Spatio-Temporal Dynamic Inference Network for Group Activity Recognition

2 code implementations ICCV 2021 Hangjie Yuan, Dong Ni, Mang Wang

Within each interaction field, we apply DR to predict the relation matrix and DW to predict the dynamic walk offsets in a joint-processing manner, thus forming a person-specific interaction graph.

Group Activity Recognition Relation

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