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Amit Baras

2 accepted papers

2024

DeSparsify: Adversarial Attack Against Token Sparsification Mechanisms

NeurIPS 2024spotlight

Vision transformers have shown remarkable advancements in the computer vision domain, demonstrating state-of-the-art performance in diverse tasks (e.g., image classification, object detection). However, their high computational requirements grow quadratically with the number of tokens used. Token sp…

Cited by 0SourcePDFScholar
2024

YolOOD: Utilizing Object Detection Concepts for Multi-Label Out-of-Distribution Detection

CVPR 2024poster

Out-of-distribution (OOD) detection has attracted a large amount of attention from the machine learning research community in recent years due to its importance in deployed systems. Most of the previous studies focused on the detection of OOD samples in the multi-class classification task. However O…