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
Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018
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).
FGVC project with the Stanford Dogs dataset.
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.
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