Segment (Almost) Nothing: Prompt-Agnostic Adversarial Attacks on Segmentation Models

General purpose segmentation models are able to generate (semantic) segmentation masks from a variety of prompts, including visual (points, boxed, etc.) and textual (object names) ones. In particular, input images are pre-processed by an image encoder to obtain embedding vectors which are later used...

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Hauptverfasser:	Croce, Francesco, Hein, Matthias
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition Computer Science - Cryptography and Security Computer Science - Learning
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