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Object Identification and Localization Using Grad-CAM++ with Mask Regional Convolution Neural Network

https://doi.org/10.3390/electronics10131541

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A Light-weight Method to Foster the (Grad)CAM Interpretability and Explainability of Classification Networks

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GPOL: Gradient and Probabilistic approach for Object Localization to understand the working of CNNs

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Mask R-CNN

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Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

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CAM-UNET: Class Activation MAP Guided UNET with Feedback Refinement for Defect Segmentation

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Cnn Based Renormalization Method for Ship Detection in Vhr Remote Sensing Images

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Eigen-CAM: Class Activation Map using Principal Components

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Mask-RCNN Based People Detection Using A Top-View Fisheye Camera

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Learning Rotation-Invariant Convolutional Neural Networks for Object Detection in VHR Optical Remote Sensing Images

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Grad-CAM++: Generalized Gradient-Based Visual Explanations for Deep Convolutional Networks

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