Semantic-Guided Information Alignment Network for Fine-Grained Image Recognition
Author:
Affiliation:
1. International School of Information Science and Engineering, Dalian University of Technology, Dalian, China
2. Huawei Cloud and AI, Shenzhen, China
3. Sense Time Computer Vision Research Group, The University of Sydney, Camperdown, NSW, Australia
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Media Technology
Link
http://xplorestaging.ieee.org/ielx7/76/10297951/10091192.pdf?arnumber=10091192
Reference63 articles.
1. Dynamic Perception Framework for Fine-grained Recognition
2. Neural Prototype Trees for Interpretable Fine-grained Image Recognition
3. Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-Grained Image Recognition
4. Attentional Kernel Encoding Networks for Fine-Grained Visual Categorization
5. Multi-Granularity Reference-Aided Attentive Feature Aggregation for Video-Based Person Re-Identification
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