Accurate Explanation Model for Image Classifiers using Class Association Embedding

31 December 2024

Papers citing "Accurate Explanation Model for Image Classifiers using Class Association Embedding"

7 / 7 papers shown

Title
MSA-UNet3+: Multi-Scale Attention UNet3+ with New Supervised Prototypical Contrastive Loss for Coronary DSA Image Segmentation Rayan Merghani Ahmed Adnan Iltaf Mohamed Elmanna Gang Zhao Hongliang Li Yue Du Bin Li Shoujun Zhou 57 0 0 07 Apr 2025
Neutralizing the Narrative: AI-Powered Debiasing of Online News Articles Chen Wei Kuo Kevin Chu Nouar Aldahoul Hazem Ibrahim Talal Rahwan Yasir Zaki SyDa 54 0 0 04 Apr 2025
Prompt Categories Cluster for Weakly Supervised Semantic Segmentation Wangyu Wu Xianglin Qiu Siqi Song Xiaowei Huang Fei Ma Jimin Xiao VLM 67 4 0 18 Dec 2024
A Weakly Supervised and Globally Explainable Learning Framework for Brain Tumor Segmentation Andrea Failla Salvatore Citraro Xiaoxi He Yi-Lun Pan Yunpeng Cai MedIm 13 4 0 02 Aug 2024
Augmentation by Counterfactual Explanation -- Fixing an Overconfident Classifier Sumedha Singla Nihal Murali Forough Arabshahi Sofia Triantafyllou Kayhan Batmanghelich CML 41 4 0 21 Oct 2022
Using Knowledge Distillation to improve interpretable models in a retail banking context Maxime Biehler Mohamed Guermazi Célim Starck 38 2 0 30 Sep 2022
Explaining the Black-box Smoothly- A Counterfactual Approach Junyu Chen Yong Du Yufan He W. Paul Segars Ye Li MedIm FAtt 63 83 0 11 Jan 2021