Cover Image

Generalizing GradCAM for Embedding Networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Bachhawat, Mudit
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Q-GroundCAM: Quantifying Grounding in Vision Language Models via GradCAM
by: Rajabi, Navid, et al.
Published: (2024)

Enhancing Explainable AI: A Hybrid Approach Combining GradCAM and LRP for CNN Interpretability
by: Dhore, Vaibhav, et al.
Published: (2024)

TransUNet-GradCAM: A Hybrid Transformer-U-Net with Self-Attention and Explainable Visualizations for Foot Ulcer Segmentation
by: Asare, Akwasi, et al.
Published: (2025)

Expected Grad-CAM: Towards gradient faithfulness
by: Buono, Vincenzo, et al.
Published: (2024)

Is Grad-CAM Explainable in Medical Images?
by: Suara, Subhashis, et al.
Published: (2023)

Perception and Localization of Macular Degeneration Applying Convolutional Neural Network, ResNet and Grad-CAM
by: Hossain, Tahmim, et al.
Published: (2024)

Enhancing Tea Leaf Disease Recognition with Attention Mechanisms and Grad-CAM Visualization
by: Shikdar, Omar Faruq, et al.
Published: (2025)

Seeing Isn't Always Believing: Analysis of Grad-CAM Faithfulness and Localization Reliability in Lung Cancer CT Classification
by: Panboonyuen, Teerapong
Published: (2026)

An Attention Infused Deep Learning System with Grad-CAM Visualization for Early Screening of Glaucoma
by: Swaminathan, Ramanathan
Published: (2025)

Explainable Image Similarity: Integrating Siamese Networks and Grad-CAM
by: Livieris, Ioannis E., et al.
Published: (2023)

IteRPrimE: Zero-shot Referring Image Segmentation with Iterative Grad-CAM Refinement and Primary Word Emphasis
by: Wang, Yuji, et al.
Published: (2025)

Weakly Supervised Pneumonia Localization from Chest X-Rays Using Deep Neural Network and Grad-CAM Explanations
by: Shahi, Kiran, et al.
Published: (2025)

Dilated Convolution with Learnable Spacings makes visual models more aligned with humans: a Grad-CAM study
by: Chamas, Rabih, et al.
Published: (2024)

Toward Reliable and Explainable Nail Disease Classification: Leveraging Adversarial Training and Grad-CAM Visualization
by: Hossain, Farzia, et al.
Published: (2026)

CAM-Seg: A Continuous-valued Embedding Approach for Semantic Image Generation
by: Ahmed, Masud, et al.
Published: (2025)

Breast Cancer Classification with Enhanced Interpretability: DALAResNet50 and DT Grad-CAM
by: Liu, Suxing
Published: (2023)

CBAM-Enhanced DenseNet121 for Multi-Class Chest X-Ray Classification with Grad-CAM Explainability
by: Dey, Utsho Kumar
Published: (2026)

A Clinically Interpretable Deep CNN Framework for Early Chronic Kidney Disease Prediction Using Grad-CAM-Based Explainable AI
by: Ayub, Anas Bin, et al.
Published: (2025)

Enhanced SegNet with Integrated Grad-CAM for Interpretable Retinal Layer Segmentation in OCT Images
by: Saky, S M Asiful Islam, et al.
Published: (2025)

GastroViT: A Vision Transformer Based Ensemble Learning Approach for Gastrointestinal Disease Classification with Grad CAM & SHAP Visualization
by: Tabassum, Sumaiya, et al.
Published: (2025)

GradBias: Unveiling Word Influence on Bias in Text-to-Image Generative Models
by: D'Incà, Moreno, et al.
Published: (2024)

GUESS:GradUally Enriching SyntheSis for Text-Driven Human Motion Generation
by: Gao, Xuehao, et al.
Published: (2024)

Grad-ECLIP: Gradient-based Visual and Textual Explanations for CLIP
by: Zhao, Chenyang, et al.
Published: (2025)

Empowering CAM-Based Methods with Capability to Generate Fine-Grained and High-Faithfulness Explanations
by: Qiu, Changqing, et al.
Published: (2023)

Opti-CAM: Optimizing saliency maps for interpretability
by: Zhang, Hanwei, et al.
Published: (2023)

uniGradICON: A Foundation Model for Medical Image Registration
by: Tian, Lin, et al.
Published: (2024)

UnSegMedGAT: Unsupervised Medical Image Segmentation using Graph Attention Networks Clustering
by: Adityaja, A. Mudit, et al.
Published: (2024)

LeGrad: An Explainability Method for Vision Transformers via Feature Formation Sensitivity
by: Bousselham, Walid, et al.
Published: (2024)

GradAttn: Replacing Fixed Residual Connections with Task-Modulated Attention Pathways
by: Ghoshal, Soudeep, et al.
Published: (2026)

Grad-CL: Source Free Domain Adaptation with Gradient Guided Feature Disalignment
by: Thakur, Rini Smita, et al.
Published: (2025)

CAPE: CAM as a Probabilistic Ensemble for Enhanced DNN Interpretation
by: Chowdhury, Townim Faisal, et al.
Published: (2024)

Explainable Face Presentation Attack Detection via Ensemble-CAM
by: Shadman, Rashik, et al.
Published: (2025)

Focal Cortical Dysplasia Type II Detection Using Cross Modality Transfer Learning and Grad-CAM in 3D-CNNs for MRI Analysis
by: Lasagni, Lorenzo, et al.
Published: (2025)

DecomCAM: Advancing Beyond Saliency Maps through Decomposition and Integration
by: Yang, Yuguang, et al.
Published: (2024)

CAM3R: Camera-Agnostic Model for 3D Reconstruction
by: Guruprasad, Namitha, et al.
Published: (2026)

McGAN: Generating Manufacturable Designs by Embedding Manufacturing Rules into Conditional Generative Adversarial Network
by: Wang, Zhichao, et al.
Published: (2024)

Debunking Grad-ECLIP: A Comprehensive Study on Its Incorrectness and Fundamental Principles for Model Interpretation
by: Cui, Yongjin, et al.
Published: (2026)

UnSeGArmaNet: Unsupervised Image Segmentation using Graph Neural Networks with Convolutional ARMA Filters
by: Reddy, Kovvuri Sai Gopal, et al.
Published: (2024)

FishRoPE: Projective Rotary Position Embeddings for Omnidirectional Visual Perception
by: Ahuja, Rahul, et al.
Published: (2026)

Combi-CAM: A Novel Multi-Layer Approach for Explainable Image Geolocalization
by: Faget, David, et al.
Published: (2026)