Dynamic Feature Fusion for Visual Object Detection and Segmentation-Reference-Cited by-同舟云学术

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Dynamic Feature Fusion for Visual Object Detection and Segmentation

Published:2023-01-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Consumer Electronics (ICCE)
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Author:

Hu Yu-Ming¹,Xie Jia-Jin¹,Shuai Hong-Han²,Huang Ching-Chun³,Chou I-Fan⁴,Cheng Wen-Huang¹

Affiliation:

1. Institute of Electronics, National Yang Ming Chiao Tung University,Hsinchu,Taiwan

2. National Yang Ming Chiao Tung University,Department of Electrical and Computer Engineering,Hsinchu,Taiwan

3. National Yang Ming Chiao Tung University,Department of Computer Science,Hsinchu,Taiwan

4. Chunghwa Telecom Laboratories,Taoyuan,Taiwan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10043349/10043179/10043439.pdf?arnumber=10043439

Reference22 articles.

1. SOLOv2: Dynamic and Fast Instance Segmentation;wang;Proceedings of the Advances in Neural Information Processing Systems (NeurIPS),0

2. AU-assisted Graph Attention Convolutional Network for Micro-Expression Recognition

3. Feature Pyramid Networks for Object Detection

4. Deep Residual Learning for Image Recognition

5. Microsoft COCO: Common Objects in Context;lin;Proceedings of the European Conference on Computer Vision (ECCV),0

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