https://github.com/KingJamesSong/DifferentiableSVD
공식 코드On the Eigenvalues of Global Covariance Pooling for Fine-grained Visual Recognition
Papers with Code 아카이브
Fine-Grained Visual Categorization
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 0
- 보존된 평가 기록
- 0
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Markin-Wang/FFVT
공식 코드Feature Fusion Vision Transformer for Fine-Grained Visual Categorization
https://github.com/SYe-hub/IMS
공식 코드https://github.com/ZF1044404254/MMAL-Net
공식 코드Multi-branch and Multi-scale Attention Learning for Fine-Grained Visual Categorization
https://github.com/ZF1044404254/TBMSL-Net
공식 코드Multi-branch and Multi-scale Attention Learning for Fine-Grained Visual Categorization
https://github.com/dsgt-kaggle-clef/fungiclef-2024
공식 코드Fine-Grained Classification for Poisonous Fungi Identification with Transfer Learning
https://github.com/feathers-dataset/feathersv1-classification
공식 코드https://github.com/feathers-dataset/feathersv1-dataset
공식 코드https://github.com/karansikka1/iFood_2019
공식 코드https://github.com/kkanshul/finegan
공식 코드FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery
https://github.com/mmaaz60/ssl_for_fgvc
공식 코드Self-Supervised Learning for Fine-Grained Visual Categorization
https://github.com/pku-icst-mipl/sim-trans_acmmm2022
공식 코드SIM-Trans: Structure Information Modeling Transformer for Fine-grained Visual Categorization
https://github.com/raoyongming/CAL
공식 코드Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification
https://github.com/roryshao/dfkd-fgvc
공식 코드Data-free Knowledge Distillation for Fine-grained Visual Categorization
https://github.com/ssdut-caiyq/ufg-ncd
공식 코드Novel Class Discovery for Ultra-Fine-Grained Visual Categorization
https://github.com/sye-hub/cdlt
공식 코드https://github.com/tensorflow/tpu/tree/master/models/official/detection/projects/fashionpedia
공식 코드Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset
https://github.com/usuyama/ePillID-benchmark
공식 코드ePillID Dataset: A Low-Shot Fine-Grained Benchmark for Pill Identification
https://github.com/visipedia/newt
공식 코드Benchmarking Representation Learning for Natural World Image Collections
https://github.com/visipedia/ssw60
공식 코드Exploring Fine-Grained Audiovisual Categorization with the SSW60 Dataset
https://github.com/zichengpan/eianet
공식 코드https://github.com/1170500804/tbmsl
Multi-branch and Multi-scale Attention Learning for Fine-Grained Visual Categorization
https://github.com/Boyiliee/SITT
The Plant Pathology 2020 challenge dataset to classify foliar disease of apples
https://github.com/CodingWitcher/Leaf_Diseases
The Plant Pathology 2020 challenge dataset to classify foliar disease of apples
https://github.com/DiKorsch/l1_parts
Classification-Specific Parts for Improving Fine-Grained Visual Categorization
https://github.com/FlyingMoon-GitHub/ACNet
Attention Convolutional Binary Neural Tree for Fine-Grained Visual Categorization
https://github.com/KMnP/fashionpedia-api
Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset
https://github.com/MindCode-4/code-13/tree/main/segmentation-dataset
Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset
https://github.com/MindCode-4/code-8/tree/main/segmentation-dataset
Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset
https://github.com/MindCode-4/code-9/tree/main/segmentation-dataset
Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset
https://github.com/PKU-ICST-MIPL/OPAM_TIP2018
https://github.com/Sunil4423/-cassava_disease_classification
https://github.com/YBZh/MetaFGNet
https://github.com/YabinZhang1994/MetaFGNet
https://github.com/YanYan0716/ACnet
Attention Convolutional Binary Neural Tree for Fine-Grained Visual Categorization
https://github.com/ZF4444/MMAL-Net
Multi-branch and Multi-scale Attention Learning for Fine-Grained Visual Categorization
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.