Image Classification
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Image Classification is a fundamental task in vision recognition that aims to understand and categorize an image as a whole under a specific label. Unlike object detection, which involves classification and location of multiple objects within an image, image classification typically pertains to single-object images. When the classification becomes highly detailed or reaches instance-level, it is often referred to as image retrieval, which also involves finding similar images in a large database.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Trustworthy-AI-Group/TransferAttack
https://github.com/TrustworthyAI-kr/LFI-CAM
LFI-CAM: Learning Feature Importance for Better Visual Explanation
https://github.com/Tsejing/object_detection
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/TsingZ0/PFL-Non-IID
https://github.com/TuSimple/neuron-selectivity-transfer
https://github.com/TuSimple/resnet.mxnet
https://github.com/TurtleGo/project-vehicle-detect
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/TusharMhaske28/Object-Detection
CSPNet: A New Backbone that can Enhance Learning Capability of CNN
https://github.com/TusharMhaske28/Thermal-Object
CSPNet: A New Backbone that can Enhance Learning Capability of CNN
https://github.com/TusharMhaske28/summer-project
CSPNet: A New Backbone that can Enhance Learning Capability of CNN
https://github.com/UBC-CIC/COVID19-L3-Net
https://github.com/UBCDingXin/cGAN-KD
https://github.com/UESBTC/DenseNet-Tensorflow
https://github.com/UKPLab/coling18-multimodalSurvey
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/USTC-IMCL/HST-for-Compressed-SR
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
https://github.com/UchaevD/RPNet-RF
https://github.com/UdbhavPrasad072300/Transformer-Implementation
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
https://github.com/UdbhavPrasad072300/Transformer-Implementation-and-Language-Translation
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
https://github.com/UdbhavPrasad072300/Transformer-Implementations
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
https://github.com/Ugenteraan/CapsNet-MNIST-TF
https://github.com/Ugenteraan/CapsNet-PyTorch
https://github.com/Ugenteraan/Masked-AutoEncoder-PyTorch
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
https://github.com/Ugenteraan/Vanilla-ViT
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
https://github.com/UnknownGenie/altered-BERT-KPE
https://github.com/UnofficialJuliaMirror/DeepMark-deepmark
https://github.com/UnofficialJuliaMirrorSnapshots/DeepMark-deepmark
https://github.com/UnofficialJuliaMirrorSnapshots/MIPVerify.jl-e5e5f8be-2a6a-5994-adbb-5afbd0e30425
https://github.com/Uranium-Deng/Steganalysis-StegoRemoval
https://github.com/Urmil28/Medical-Image-Analysis
https://github.com/UrosOgrizovic/SimpleGoogleQuickdraw
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
https://github.com/Utkarsh87/Capsule-Networks
https://github.com/V-Sense/colornet-estimating-colorfulness
https://github.com/VIRUS-ATTACK/DCGAN-GPU-IMPLEMENTATION
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
https://github.com/VIRUS-ATTACK/DCGAN-implementation.
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
https://github.com/VITA-Group/AutoGAN
AutoGAN: Neural Architecture Search for Generative Adversarial Networks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.