Content-Aware Rectified Activation for Zero-Shot Fine-Grained Image Retrieval-Reference-Cited by-同舟云学术

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Content-Aware Rectified Activation for Zero-Shot Fine-Grained Image Retrieval

Published:2024-06 Issue:6 Volume:46 Page:4366-4380
ISSN:0162-8828
Container-title:IEEE Transactions on Pattern Analysis and Machine Intelligence
language:
Short-container-title:IEEE Trans. Pattern Anal. Mach. Intell.

Author:

Wang Shijie¹^ORCID,Chang Jianlong²^ORCID,Wang Zhihui³^ORCID,Li Haojie¹^ORCID,Ouyang Wanli⁴^ORCID,Tian Qi²^ORCID

Affiliation:

1. College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, Shandong, China

2. Huawei Cloud and AI, Shenzhen, Guangdong, China

3. International School of Information Science and Engineering, Dalian University of Technology, Dalian, Liaoning, China

4. Shanghai Artificial Intelligence Laboratory, Shanghai, China

Funder

National Natural Science Foundation of China

Taishan Scholar Program of Shandong Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/34/10522060/10404027.pdf?arnumber=10404027

Reference84 articles.

1. Towards Optimal Fine Grained Retrieval via Decorrelated Centralized Loss with Normalize-Scale Layer

2. Centralized Ranking Loss with Weakly Supervised Localization for Fine-Grained Object Retrieval

3. Fine-Grained Image Analysis with Deep Learning: A Survey

4. P-CNN: Part-Based Convolutional Neural Networks for Fine-Grained Visual Categorization

5. Accurate Fine-Grained Object Recognition with Structure-Driven Relation Graph Networks

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1. Fine-grained recognition via submodular optimization regulated progressive training;Pattern Recognition;2024-12

2. Cross-domain zero-shot learning for enhanced fault diagnosis in high-voltage circuit breakers;Neural Networks;2024-12

3. DOWN: Dynamic Order Weighted Network for Fine-grained Category Discovery;Knowledge-Based Systems;2024-06

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