Alleviating Catastrophic Forgetting of Incremental Object Detection via Within-Class and Between-Class Knowledge Distillation-Reference-Cited by-同舟云学术

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Alleviating Catastrophic Forgetting of Incremental Object Detection via Within-Class and Between-Class Knowledge Distillation

Published:2023-10-01 Issue: Volume: Page:18848-18858
ISSN:
Container-title:2023 IEEE/CVF International Conference on Computer Vision (ICCV)
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Author:

Kang Mengxue¹,Zhang Jinpeng¹,Zhang Jinming²,Wang Xiashuang³,Chen Yang⁴,Ma Zhe¹,Huang Xuhui¹

Affiliation:

1. Intelligent Science & Technology Academy of CASIC,Beijing,China,100043

2. Xinjiang University,Xinjiang,China,830046

3. The Second Academy of China Aerospace Science and Industry Corporation,Beijing,China,100854

4. Institute of Automation, Chinese Academy of Sciences,Beijing,China,100190

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10376473/10376477/10377864.pdf?arnumber=10377864

Reference52 articles.

1. Modeling Missing Annotations for Incremental Learning in Object Detection

2. Microsoft coco captions: Data collection and evaluation server;Chen,2015

3. Microsoft coco captions: Data collection and evaluation server;Chen,2015

4. On the Efficacy of Knowledge Distillation

5. Bert: Pre-training of deep bidirectional transformers for language understanding;Devlin,2019

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