Tell me why: Visual foundation models as self-explainable classifiers

26 February 2025

Papers citing "Tell me why: Visual foundation models as self-explainable classifiers"

5 / 5 papers shown

Title
AM-RADIO: Agglomerative Vision Foundation Model -- Reduce All Domains Into One Michael Ranzinger Greg Heinrich Jan Kautz Pavlo Molchanov VLM 65 43 0 10 Dec 2023
ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition Mengqi Xue Qihan Huang Haofei Zhang Lechao Cheng Mingli Song Ming-hui Wu Mingli Song ViT 71 54 0 22 Aug 2022
Self-Supervised Visual Representation Learning with Semantic Grouping Xin Wen Bingchen Zhao Anlin Zheng Xinming Zhang Xiaojuan Qi SSL 149 71 0 30 May 2022
This Looks Like That... Does it? Shortcomings of Latent Space Prototype Interpretability in Deep Networks Adrian Hoffmann Claudio Fanconi Rahul Rade Jonas Köhler 34 63 0 05 May 2021
DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures Huanrui Yang W. Wen H. Li 28 97 0 27 Aug 2019