Visual Explanations via Iterated Integrated Attributions

Visual Explanations via Iterated Integrated Attributions

28 October 2023

Yehonatan Elisha

Noam Koenigstein

Papers citing "Visual Explanations via Iterated Integrated Attributions"

11 / 11 papers shown

Title
Where do Large Vision-Language Models Look at when Answering Questions? X. Xing Chia-Wen Kuo Li Fuxin Yulei Niu Fan Chen Ming Li Ying Wu Longyin Wen Sijie Zhu LRM 64 0 0 18 Mar 2025
Dynamic Accumulated Attention Map for Interpreting Evolution of Decision-Making in Vision Transformer Yi Liao Yongsheng Gao Weichuan Zhang 54 1 0 18 Mar 2025
Rethinking the Principle of Gradient Smooth Methods in Model Explanation Linjiang Zhou Chao Ma Zepeng Wang Xiaochuan Shi FAtt 34 0 0 10 Oct 2024
Axiomatization of Gradient Smoothing in Neural Networks Linjiang Zhou Xiaochuan Shi Chao Ma Zepeng Wang FAtt 50 0 0 29 Jun 2024
Token Transformation Matters: Towards Faithful Post-hoc Explanation for Vision Transformer Junyi Wu Bin Duan Weitai Kang Hao Tang Yan Yan 36 6 0 21 Mar 2024
T-TAME: Trainable Attention Mechanism for Explaining Convolutional Networks and Vision Transformers Mariano V. Ntrougkas Nikolaos Gkalelis Vasileios Mezaris FAtt ViT 35 5 0 07 Mar 2024
Learning to Explain: A Model-Agnostic Framework for Explaining Black Box Models Oren Barkan Yuval Asher Amit Eshel Yehonatan Elisha Noam Koenigstein 48 5 0 25 Oct 2023
Deep Integrated Explanations Oren Barkan Yehonatan Elisha Jonathan Weill Yuval Asher Amit Eshel Noam Koenigstein FAtt 46 7 0 23 Oct 2023
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 322 7,503 0 11 Nov 2021
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 353 36,437 0 25 Aug 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 475 15,657 0 02 Nov 2015