Siamese Representation Learning for Weakly Supervised Object Localization-Reference-Cited by-同舟云学术

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Siamese Representation Learning for Weakly Supervised Object Localization

Published:2023-08-04 Issue: Volume: Page:
ISSN:
Container-title:2023 2nd International Conference on Computing, Communication, Perception and Quantum Technology (CCPQT)
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Author:

Li Xiaoqian¹,Qiu Feng²,Wang Bo³

Affiliation:

1. Coordination Center of China,National Computer Network Emergency Response Technical Team,Beijing,China

2. Research Institute Co., Ltd,China Satellite Network System,Beijing,China

3. Chinese Academy of Sciences,Institute of Automation,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10336570/10336571/10336628.pdf?arnumber=10336628

Reference23 articles.

1. Swin Transformer V2: Scaling Up Capacity and Resolution

2. Multi-Scale Low-Discriminative Feature Reactivation for Weakly Supervised Object Localization

3. An Analysis of Scale Invariance in Object Detection - SNIP

4. Feature Pyramid Networks for Object Detection

5. Is object localization for free? - Weakly-supervised learning with convolutional neural networks

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