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What Sketch Explainability Really Means for Downstream Tasks
March 15, 2024, 4:45 a.m. | Hmrishav Bandyopadhyay, Pinaki Nath Chowdhury, Ayan Kumar Bhunia, Aneeshan Sain, Tao Xiang, Yi-Zhe Song
cs.CV updates on arXiv.org arxiv.org
Abstract: In this paper, we explore the unique modality of sketch for explainability, emphasising the profound impact of human strokes compared to conventional pixel-oriented studies. Beyond explanations of network behavior, we discern the genuine implications of explainability across diverse downstream sketch-related tasks. We propose a lightweight and portable explainability solution -- a seamless plugin that integrates effortlessly with any pre-trained model, eliminating the need for re-training. Demonstrating its adaptability, we present four applications: highly studied retrieval …
abstract arxiv behavior beyond cs.ai cs.cv diverse explainability explore human impact network paper pixel studies tasks type
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