A declarative, efficient, and flexible JavaScript library for building user interfaces.

Build fast web applications with Rust.

Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability.

Pytorch implementation of MixNMatch

A high-performance framework with fine-grained observable/signal-based reactivity for building rich applications.

Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019

Open source deep learning based fine-grained image recognition toolbox built on PyTorch🔥

FineGAN: Unsupervised Hierarchical Disentanglement for Fine-grained Object Generation and Discovery

Code release for The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification (TIP 2020)

This is a PyTorch implementation of the paper "Multi-branch and Multi-scale Attention Learning for Fine-Grained Visual Categorization (MMAL-Net)" (Fan Zhang, Meng Li, Guisheng Zhai, Yizhao Liu).

Code release for Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches (ECCV2020)

Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018

CVPR2017 - an ultra-compact bilinear model for fine-grained classification

Learning Attentive Pairwise Interaction for Fine-Grained Classification, AAAI-2020

Hierarchical Bilinear Pooling for Fine-Grained Visual Recognition reimplement in Pytorch.

Fined grained classification On Car dataset

A Tennis dataset and models for event detection & commentary generation

Code release for Your “Flamingo” is My “Bird”: Fine-Grained, or Not (CVPR 2021 Oral)

The summary of code and paper for few-shot learning in fine-grained recognition

Pytorch implementation of λOpt: Learn to Regularize Recommender Models in Finer Levels, KDD 2019