fine-grained-classification
There are 98 repositories under fine-grained-classification topic.
richardaecn/class-balanced-loss
Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019
brightmart/sentiment_analysis_fine_grain
Multi-label Classification with BERT; Fine Grained Sentiment Analysis from AI challenger
yangze0930/NTS-Net
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).
songdejia/DFL-CNN
This is a pytorch re-implementation of Learning a Discriminative Filter Bank Within a CNN for Fine-Grained Recognition
PRIS-CV/Mutual-Channel-Loss
Code release for The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification (TIP 2020)
ZF4444/MMAL-Net
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).
CaptainEven/RepNet-MDNet-VehicleReID
Implementing RepNet(a two-stream multitask learning network) to do vehicle Re-identification, vehicle search(or vehicle match) with PyTorch 可用于车辆细粒度识别，车辆再识别，车辆匹配，车辆检索，RepNet/MDNet的一种PyTorch实现
PRIS-CV/PMG-Progressive-Multi-Granularity-Training
Code release for Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches (ECCV2020)
dqshuai/MetaFormer
A PyTorch implementation of "MetaFormer: A Unified Meta Framework for Fine-Grained Recognition". A reference PyTorch implementation of “CoAtNet: Marrying Convolution and Attention for All Data Sizes”
richardaecn/cvpr18-inaturalist-transfer
Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018
wvinzh/WS_DAN_PyTorch
PyTorch Implementation Of WS-DAN(See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual Classification)
iamhankai/attribute-aware-attention
[ACM MM 2018] Attribute-Aware Attention Model for Fine-grained Representation Learning
zxhuang1698/interpretability-by-parts
Code repository for "Interpretable and Accurate Fine-grained Recognition via Region Grouping", CVPR 2020 (Oral)
faezetta/VMMRdb
Vehicle Make and Model Recognition Dataset (VMMRdb)
chencodeX/triplet-loss-pytorch
A generic triplet data loader for image classification problems,and a triplet loss net demo.
ascuet/CricShot10
CricShot10 is a video action recognition dataset consisting of 10 cricket batting shots. This dataset was developed using the videos from YouTube.
ascuet/SoccerAct10
SoccerAct10 is a dataset which contains 10 different soccer actions. This dataset was developed using the videos from YouTube.
M-Nauta/ProtoTree
ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021
Nandan91/ULSAM
ULSAM: Ultra-Lightweight Subspace Attention Module for Compact Convolutional Neural Networks
zhangchbin/OnlineLabelSmoothing
The official code for the paper "Delving Deep into Label Smoothing", IEEE TIP 2021
KingJamesSong/DifferentiableSVD
A collection of differentiable SVD methods and ICCV21 "Why Approximate Matrix Square Root Outperforms Accurate SVD in Global Covariance Pooling?"
QuocThangNguyen/deep-metric-learning-tsinghua-dogs
Dogs classification with Deep Metric Learning
PRIS-CV/Fine-Grained-or-Not
Code release for Your “Flamingo” is My “Bird”: Fine-Grained, or Not (CVPR 2021 Oral)
ParitoshParmar/MTL-AQA
What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment [CVPR 2019]
cvjena/alpha_pooling
Code for our paper "Generalized Orderless Pooling Performs Implicit Salient Matching" published at ICCV 2017.
cvjena/part_constellation_models
Code for the ICCV 2015 paper "Neural Activation Constellations: Unsupervised Part Model Discovery with Convolutional Networks."
Markin-Wang/FFVT
[BMVC 2021] The official PyTorch implementation of Feature Fusion Vision Transformer for Fine-Grained Visual Categorization
ParitoshParmar/Fitness-AQA
Fitness Action Quality Assessment or your AI-Fitness Coach [ECCV 2022]
VITA-Group/Focus-Longer-to-See-Better
[CVPRW 2020] Focus Longer to See Better:Recursively Refined Attention for Fine-Grained Image Classification
leesb7426/CVPR2022-Task-Discrepancy-Maximization-for-Fine-grained-Few-Shot-Classification
Official PyTorch Repository of "Task Discrepancy Maximization for Fine-grained Few-Shot Classification" (TDM, CVPR 2022 Oral Paper)
nlpAThits/figet-hyperbolic-space
Code for the paper "Fine-Grained Entity Typing in Hyperbolic Space"
daisukelab/protonet-fine-grained-clf
(Using) Prototypical Networks as a Fine Grained Classifier
rush2406/Self-Supervised-Learning-for-Fine-grained-Image-Classification
Applied Self Supervised Learning techniques such as Jigsaw as pretext task, SRGAN and SimCLR for fine-grained classification
Ezra-Yu/ACCV2022_FGIA_1st
1st solution for the Webly-supervised Fine-grained Recognition competition in https://www.cvmart.net/race/10412/base
MrChenFeng/MaskCon_CVPR2023
MaskCon: Masked Contrastive Learning for Coarse-Labeled Dataset (CVPR2023)
PRIS-CV/Fine-grained-Visual-Analysis-Library
FGVCLib is an open-source and well documented library for Fine-grained Visual Classification.