Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019
Multi-label Classification with BERT; Fine Grained Sentiment Analysis fr...
This is a PyTorch implementation of the ECCV2018 paper "Learning to Navi...
This is a pytorch re-implementation of Learning a Discriminative Filter ...
Code release for The Devil is in the Channels: Mutual-Channel Loss for F...
This is a PyTorch implementation of the paper "Multi-branch and Multi-sc...
Implementing RepNet(a two-stream multitask learning network) to do vehic...
Code release for Fine-Grained Visual Classification via Progressive Multi...
A PyTorch implementation of "MetaFormer: A Unified Meta Framework for Fi...
Large Scale Fine-Grained Categorization and Domain-Specific Transfer Le...
PyTorch Implementation Of WS-DAN(See Better Before Looking Closer: Weakl...
[ACM MM 2018] Attribute-Aware Attention Model for Fine-grained Represent...
Code repository for "Interpretable and Accurate Fine-grained Recognition...
Vehicle Make and Model Recognition Dataset (VMMRdb)
A generic triplet data loader for image classification problems,and a tr...