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/OlafenwaMoses/IdenProf
https://github.com/OlafenwaMoses/Traffic-Net
https://github.com/Olayemiy/Image-Classification-With-Resnet
https://github.com/OliverJBoom/Histopathologic-Cancer-Detection
https://github.com/OniroAI/Instance-segmentation-with-MobileNetV3
https://github.com/Onysuke/chainer-grad-cam
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
https://github.com/Open-Debin/MetaQDA_Pub
Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition
https://github.com/OpenNMT/OpenNMT-py
https://github.com/OpenXAIProject/LRP_for_LSTM_Korean_dataset
Explaining NonLinear Classification Decisions with Deep Taylor Decomposition
https://github.com/OrkhanHI/Grab-AI-Computer-Vision-Challenge
https://github.com/OrthoDex/PCGrad-PyTorch
https://github.com/OscarPellicer/prostate_lesion_detection
https://github.com/OsvaldN/APS360_Project
Empirical Evaluation of Rectified Activations in Convolutional Network
https://github.com/Oushesh/CapsClassifigner
https://github.com/Owais-Ansari/Unet3plus
https://github.com/OwenLeng/pytorch-capsule
https://github.com/OwenSec/DeepDetector
https://github.com/P2333/Max-Mahalanobis-Training
https://github.com/P2333/Mixup-Inference
https://github.com/PB17151764/2020UM-Summer-Research
https://github.com/PDEUXA/AIF_CYCLEGAN
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
https://github.com/POSTECH-CVLab/FastPointTransformer
https://github.com/POSTECH-CVLab/point-transformer
https://github.com/PPPrior/i3d-pytorch
https://github.com/PPPrior/u2net
U$^2$-Net: Going Deeper with Nested U-Structure for Salient Object Detection
https://github.com/PRBonn/bonnet
https://github.com/PRIS-CV/PCA-Net
Progressive Co-Attention Network for Fine-grained Visual Classification
https://github.com/PRIS-CV/Top-Down-Spatial-Attention-Loss
https://github.com/PRIS-CV/knowledge-transfer-based-FGVC
https://github.com/PaMcD/GasHisSDB_DL
GasHisSDB: A New Gastric Histopathology Image Dataset for Computer Aided Diagnosis of Gastric Cancer
https://github.com/PabloVD/21cmDeepLearning
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
https://github.com/Pacmed/ehr_ood_detection
Trust Issues: Uncertainty Estimation Does Not Enable Reliable OOD Detection On Medical Tabular Data
https://github.com/PaddlePaddle/FleetX/blob/develop/examples/resnet/train_fleet_static_dgc.py
Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training
https://github.com/PaddlePaddle/FleetX/tree/develop/examples/pipeline
GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism
https://github.com/PaddlePaddle/PASSL
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.