Search Results for author: Dipesh Tamboli

Found 5 papers, 2 papers with code

Explaining decision of model from its prediction

1 code implementation15 Jun 2021 Dipesh Tamboli

This document summarizes different visual explanations methods such as CAM, Grad-CAM, Localization using Multiple Instance Learning - Saliency-based methods, Saliency-driven Class-Impressions, Muting pixels in input image - Adversarial methods and Activation visualization, Convolution filter visualization - Feature-based methods.

Multiple Instance Learning

Saliency-driven Class Impressions for Feature Visualization of Deep Neural Networks

no code implementations31 Jul 2020 Sravanti Addepalli, Dipesh Tamboli, R. Venkatesh Babu, Biplab Banerjee

Existing visualization methods develop high confidence images consisting of both background and foreground features.

Breast Cancer Histopathology Image Classification and Localization using Multiple Instance Learning

1 code implementation16 Feb 2020 Abhijeet Patil, Dipesh Tamboli, Swati Meena, Deepak Anand, Amit Sethi

We aim to provide a better interpretation of classification results by providing localization on microscopic histopathology images.

Classification General Classification +2

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