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Image Categorization

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/ISTAustria-CVML/KSconf

공식 코드

KS(conf ): A Light-Weight Test if a ConvNet Operates Outside of Its Specifications

https://github.com/KingJamesSong/DifferentiableSVD

공식 코드

On the Eigenvalues of Global Covariance Pooling for Fine-grained Visual Recognition

https://github.com/Markin-Wang/FFVT

공식 코드

Feature Fusion Vision Transformer for Fine-Grained Visual Categorization

https://github.com/SYe-hub/IMS

공식 코드

Coping with Change: Learning Invariant and Minimum Sufficient Representations for Fine-Grained Visual Categorization

https://github.com/VieVie31/visual-similarity

공식 코드

Learning an Adaptation Function to Assess Image Visual Similarities

https://github.com/ZF1044404254/MMAL-Net

공식 코드

Multi-branch and Multi-scale Attention Learning for Fine-Grained Visual Categorization

https://github.com/ZF1044404254/TBMSL-Net

공식 코드

Multi-branch and Multi-scale Attention Learning for Fine-Grained Visual Categorization

https://github.com/ardhendubehera/sr-gnn

공식 코드

SR-GNN: Spatial Relation-aware Graph Neural Network for Fine-Grained Image Categorization

https://github.com/dongliangchang/Mutual-Channel-Loss

공식 코드

The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification

https://github.com/dsgt-kaggle-clef/fungiclef-2024

공식 코드

Fine-Grained Classification for Poisonous Fungi Identification with Transfer Learning

https://github.com/feathers-dataset/feathersv1-classification

공식 코드

Feathers dataset for Fine-Grained Visual Categorization

https://github.com/feathers-dataset/feathersv1-dataset

공식 코드

Feathers dataset for Fine-Grained Visual Categorization

https://github.com/kancharlavamshi/Spatial-encoding-of-BOLD-fmri-time-series-for-categorical-static-images-across-visual-dataset

공식 코드

Spatial encoding of BOLD fMRI time series for categorizing static images across visual datasets: A pilot study on human vision

https://github.com/karansikka1/iFood_2019

공식 코드

FoodX-251: A Dataset for Fine-grained Food Classification

https://github.com/kkanshul/finegan

공식 코드

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

https://github.com/mmaaz60/ssl_for_fgvc

공식 코드

Self-Supervised Learning for Fine-Grained Visual Categorization

https://github.com/pku-icst-mipl/sim-trans_acmmm2022

공식 코드

SIM-Trans: Structure Information Modeling Transformer for Fine-grained Visual Categorization

https://github.com/qzhb/tdcmn

공식 코드

Modeling Temporal Concept Receptive Field Dynamically for Untrimmed Video Analysis

https://github.com/raoyongming/CAL

공식 코드

Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification

https://github.com/roryshao/dfkd-fgvc

공식 코드

Data-free Knowledge Distillation for Fine-grained Visual Categorization

https://github.com/rsamf/text-guided-mixup

공식 코드

Text-Guided Mixup Towards Long-Tailed Image Categorization

https://github.com/shivram1987/diffGrad

공식 코드

diffGrad: An Optimization Method for Convolutional Neural Networks

https://github.com/spikeai/2022-09_ultrafastcat

공식 코드

Ultrafast Image Categorization in Biology and Neural Models

https://github.com/ssdut-caiyq/ufg-ncd

공식 코드

Novel Class Discovery for Ultra-Fine-Grained Visual Categorization

https://github.com/sye-hub/cdlt

공식 코드

Concept Drift and Long-Tailed Distribution in Fine-Grained Visual Categorization: Benchmark and Method

https://github.com/tensorflow/tpu/tree/master/models/official/detection/projects/fashionpedia

공식 코드

Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset

https://github.com/usuyama/ePillID-benchmark

공식 코드

ePillID Dataset: A Low-Shot Fine-Grained Benchmark for Pill Identification

https://github.com/visipedia/newt

공식 코드

Benchmarking Representation Learning for Natural World Image Collections

https://github.com/visipedia/ssw60

공식 코드

Exploring Fine-Grained Audiovisual Categorization with the SSW60 Dataset

https://github.com/zeroonegame/cdnet-for-ous-fgic

공식 코드

CDNet: Contrastive Disentangled Network for Fine-Grained Image Categorization of Ocular B-Scan Ultrasound

https://github.com/zichengpan/eianet

공식 코드

EIANet: A Novel Domain Adaptation Approach to Maximize Class Distinction with Neural Collapse Principles

https://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

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