Titlebook: Image Analysis and Processing - ICIAP 2023 Workshops; Udine, Italy, Septem Gian Luca Foresti,Andrea Fusiello,Edwin Hancock Conference proce

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Generating Invariance-Based Adversarial Examples: Bringing Humans Back into the Loopstigate invariance-based adversarial examples, which highlight differences between computer vision and human perception. We conduct a study with 25 human subjects, collecting eye-gazing data and time-constrained classification performance, in order to study how occlusion-based perturbations impact h

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MARS: Mask Attention Refinement with Sequential Quadtree Nodes for Car Damage Instance Segmentationons since the deep learning network is not designed for car damage images as inputs, and its segmented masks are still very coarse. This paper presents . (.ask .ttention .efinement with .equential quadtree nodes) for car damage instance segmentation. Our MARS represents self-attention mechanisms to

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A General Purpose Method for Image Collection Summarization and Explorationages based on their semantic content, and then selects the most diverse and aesthetically pleasing images to represent each category. To ensure the selection of high-quality images, we use features extracted from a Convolutional Neural Network to assess their diversity and perceptual properties. The

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CNN-BLSTM Model for Arabic Text Recognition in Unconstrained Captured Identity Documentsmercial solutions have emerged with good recognition rates for printed text (on white or uniform backgrounds) or handwritten text with limited vocabulary. In addition to being naturally cursive, the Arabic language comes with additional challenges due to its calligraphy resulting in a variety of fon

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