The source code for the TMM paper: Part-Aware Fine-grained Object Categorization using Weakly Supervised Part Detection Network
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Updated
Aug 5, 2018 - Python
The source code for the TMM paper: Part-Aware Fine-grained Object Categorization using Weakly Supervised Part Detection Network
This is an implementation of compact bilinear CNN using keras
PFNet: A Novel Part Fusion Network for Fine-grained Visual Categorization
Fine-Grained Visual Classification for Plants & Flowers
[ACM MM 2018] Attribute-Aware Attention Model for Fine-grained Representation Learning
Bilinear CNNs in PyTorch
unofficial PyTorch implementation of Look into object paper (CVPR2020).
Code for paper "Learning Semantically Enhanced Feature for Fine-grained Image Classification"
Fine-grained classification of 200 species of birds
Code release for the paper BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification. (TIP2020)
Progressive Co-Attention Network for Fine-Grained Visual Classification
Fine-Grained Visual Classification via Simultaneously Learning of Multi-regional Multi-grained Features
PyTorch Code for Feature Boosting, Suppression, and Diversification for Fine-Grained Visual Classification
Code release for Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches (ECCV2020)
PyTorch Implementation Of WS-DAN(See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual Classification)
Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019
PyTorch code for the ICME 2021 paper Selective, Structural, Subtle: Trilinear Spatial-Awareness for Few-Shot Fine-Grained Visual Recognition.
This is a PyTorch implementation of the ECCV2018 paper "Learning to Navigate for Fine-grained Classification" (Ze Yang, Tiange Luo, Dong Wang, Zhiqiang Hu, Jun Gao, Liwei Wang).
Weakly Supervised Attention Pyramid Convolutional Neural Network for Fine-Grained Visual Classification (TIP2021)
ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021
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