https://github.com/fitushar/3D-Grad-CAM
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Papers with Code 아카이브
Image Attribution
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 평가표
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- 보존된 평가 기록
- 24
Image attribution algorithms aim to identify important regions that are highly relevant to model decisions.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/frgfm/torch-cam
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
https://github.com/ftorres11/saliencysense
RISE: Randomized Input Sampling for Explanation of Black-box Models
https://github.com/g8a9/ferret
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
https://github.com/gablabc/shap
https://github.com/galdeia/iirsbenchmark
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
https://github.com/garygsw/smooth-taylor
https://github.com/gshashank84/CheXNet
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
https://github.com/hannamw/eap-ig
https://github.com/hieu2906090/deep-learning-in-js
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
https://github.com/hs2k/pytorch-smoothgrad
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
https://github.com/hysts/pytorch_D-RISE
RISE: Randomized Input Sampling for Explanation of Black-box Models
https://github.com/iancovert/shapley-regression
https://github.com/idiap/fullgrad-saliency
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
https://github.com/ieee8023/ct-counterfactuals
https://github.com/ieee8023/latentshift
https://github.com/isaaccasm/GradCAM-keras
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
https://github.com/ismailuddin/gradcam-tensorflow-2
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
https://github.com/itanvir/gradcam
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
https://github.com/jacobgil/keras-grad-cam
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
https://github.com/jacobgil/pytorch-grad-cam
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
https://github.com/janhavi-giri/Explainable_ML_Classifier_LIME
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
https://github.com/jankrepl/mildlyoverfitted
https://github.com/jemilc/shap
https://github.com/jmvuilla/classification
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
https://github.com/jordan-bird/synthetic-fruit-image-generator
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
https://github.com/kalelpark/Mixture-of-Granularity-Specific-Experts-for-Fine-Grained-Categorization
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
https://github.com/karandesaiii/CheXNet
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
https://github.com/kazuto1011/grad-cam-pytorch
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
https://github.com/kjczarne/eager_gradcam_tf
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
https://github.com/koren-v/Interpret
https://github.com/labouz/xai-pres-1
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
https://github.com/linkedin/fasttreeshap
https://github.com/liuyanguu/SHAPforxgboost
https://github.com/lpcan/micl
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
https://github.com/marcotcr/lime
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.