fine-grained-classification
There are 32 repositories under fine-grained-classification topic.
richardaecn / class-balanced-loss
Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019
Language:Python 591brightmart / sentiment_analysis_fine_grain
Multi-label Classification with BERT; Fine Grained Sentiment Analysis from AI challenger
Language:Jupyter Notebook 587yangze0930 / 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).
Language:Python 449songdejia / DFL-CNN
This is a pytorch re-implementation of Learning a Discriminative Filter Bank Within a CNN for Fine-Grained Recognition
Language:Python 266- Mutual-Channel-Loss
PRIS-CV / Mutual-Channel-Loss
Code release for The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification (TIP 2020)
Language:Python 254 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).
Language:Python 247CaptainEven / 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
Language:Python 241Code release for Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches (ECCV2020)
Language:Python 211dqshuai / 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”
Language:Python 206Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018
Language:Jupyter Notebook 197wvinzh / WS_DAN_PyTorch
PyTorch Implementation Of WS-DAN(See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual Classification)
Language:Python 165iamhankai / attribute-aware-attention
[ACM MM 2018] Attribute-Aware Attention Model for Fine-grained Representation Learning
Language:Python 156zxhuang1698 / interpretability-by-parts
Code repository for "Interpretable and Accurate Fine-grained Recognition via Region Grouping", CVPR 2020 (Oral)
Language:Python 128- Language:Lua 122
chencodeX / triplet-loss-pytorch
A generic triplet data loader for image classification problems,and a triplet loss net demo.
Language:Python 121ascuet / CricShot10
CricShot10 is a video action recognition dataset consisting of 10 cricket batting shots. This dataset was developed using the videos from YouTube.
action-recognitionaction-recognition-datasetbatting-shot-classificationbatting-shotscricket-activity-recognitioncricket-batting-shot-classificationcricket-batting-shot-recognitioncricket-datacricket-event-classificationcricket-shot-classificationcricket-shot-identificationcricket-shotsfine-grained-classificationfine-grained-datasetfine-grained-video-datasetshot-classificationvideo-classificationvideo-classification-datasetSoccerAct10 is a dataset which contains 10 different soccer actions. This dataset was developed using the videos from YouTube.
action-recognitionaction-recognition-datasetfine-grained-classificationfootball-action-classificationfootball-action-recognitionfootball-datasetkeras-action-recognitionpytorch-action-recognitionsoccer-activity-classificationsoccer-video-classificationsports-analysissports-classificationsports-recognition-datasetsports-video-classificationvideo-action-recognitionvideo-classificationvideo-datasetM-Nauta / ProtoTree
ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021
Language:Python 85Nandan91 / ULSAM
ULSAM: Ultra-Lightweight Subspace Attention Module for Compact Convolutional Neural Networks
Language:Python 77zhangchbin / OnlineLabelSmoothing
The official code for the paper "Delving Deep into Label Smoothing", IEEE TIP 2021
Language:Python 71KingJamesSong / DifferentiableSVD
A collection of differentiable SVD methods and ICCV21 "Why Approximate Matrix Square Root Outperforms Accurate SVD in Global Covariance Pooling?"
Language:Python 65QuocThangNguyen / deep-metric-learning-tsinghua-dogs
Dogs classification with Deep Metric Learning
Language:Python 59Code release for Your “Flamingo” is My “Bird”: Fine-Grained, or Not (CVPR 2021 Oral)
Language:Python 56ParitoshParmar / MTL-AQA
What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment [CVPR 2019]
Language:Python 51cvjena / alpha_pooling
Code for our paper "Generalized Orderless Pooling Performs Implicit Salient Matching" published at ICCV 2017.
Language:Jupyter Notebook 49Code for the ICCV 2015 paper "Neural Activation Constellations: Unsupervised Part Model Discovery with Convolutional Networks."
Language:MATLAB 47Markin-Wang / FFVT
[BMVC 2021] The official PyTorch implementation of Feature Fusion Vision Transformer for Fine-Grained Visual Categorization
Language:Python 42VITA-Group / Focus-Longer-to-See-Better
[CVPRW 2020] Focus Longer to See Better:Recursively Refined Attention for Fine-Grained Image Classification
Language:Python 39Fitness Action Quality Assessment or your AI-Fitness Coach [ECCV 2022]
video-understandingself-supervised-learningaction-recognitionfine-grained-classificationaction-understandingpose-estimationrepresentation-learningdomain-knowledgedisentangled-representationsexercise-appexercise-pose-analysispose-contrastive-learningmotion-disentanglinggympose-appearance-disentanglingaction-quality-assessmentfitnessfitness-appfitness-trackerfitness-datasetLanguage:Python 37nlpAThits / figet-hyperbolic-space
Code for the paper "Fine-Grained Entity Typing in Hyperbolic Space"
Language:Python 35daisukelab / protonet-fine-grained-clf
(Using) Prototypical Networks as a Fine Grained Classifier
Language:Jupyter Notebook 34leesb7426 / 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)
Language:Python 34rush2406 / 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
Language:Jupyter Notebook 34Ezra-Yu / ACCV2022_FGIA_1st
1st solution for the Webly-supervised Fine-grained Recognition competition in https://www.cvmart.net/race/10412/base
Language:Python 33MrChenFeng / MaskCon_CVPR2023
MaskCon: Masked Contrastive Learning for Coarse-Labeled Dataset (CVPR2023)
Language:Python 32- Language:Python 31
