Learning Gabor Texture Features for Fine-Grained Recognition-Reference-Cited by-同舟云学术

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Learning Gabor Texture Features for Fine-Grained Recognition

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

Zhu Lanyun¹,Chen Tianrun²,Yin Jianxiong³,See Simon³,Liu Jun¹

Affiliation:

1. Singapore University of Technology and Design

2. Zhejiang University

3. NVIDIA AI Tech Centre

Funder

National Research Foundation

Ministry of Education

National Research Foundation Singapore

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10376473/10376477/10376984.pdf?arnumber=10376984

Reference59 articles.

1. Log-Gabor Filters for Image-Based Vehicle Verification

2. Improved Bird Species Recognition Using Pose Normalized Deep Convolutional Nets

3. Destruction and Construction Learning for Fine-Grained Image Recognition

4. Design-based texture feature fusion using Gabor filters and co-occurrence probabilities

5. Two-dimensional spectral analysis of cortical receptive field profiles

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1. R2-trans: Fine-grained visual categorization with redundancy reduction;Image and Vision Computing;2024-03

2. Hierarchical Fine-Grained Visual Classification Leveraging Consistent Hierarchical Knowledge;Lecture Notes in Computer Science;2024

3. Multi-Granularity Part Sampling Attention for Fine-Grained Visual Classification;IEEE Transactions on Image Processing;2024

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