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

Pytorch implementation of MixNMatch

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)

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

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

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)

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

Weakly Supervised Attention Pyramid Convolutional Neural Network for Fine-Grained Visual Classification (TIP2021)

FGVCLib is an open-source and well documented library for Fine-grained Visual Classification.

TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models

Srouce code for SIGIR 2023 paper

PyTorch Code for Feature Boosting, Suppression, and Diversification for Fine-Grained Visual Classification

[NeurIPS 2024] Official resources of "Text2NKG: Fine-Grained N-ary Relation Extraction for N-ary relational Knowledge Graph Construction".

[PR22, Highly Cited Paper] Learning Attention-Guided Pyramidal Features for Few-shot Fine-grained Recognition