Abstract: Adverse weather conditions significantly impact the performance of autonomous driving object detection systems, leading to reduced detection accuracy and an increased false detection rate.
Abstract: State-of-the-art oriented object detectors are predominantly built upon horizontal object detection paradigm, relying on horizontal anchors to generate oriented proposals or bounding boxes.
[CVPR 2025] Official Implementation of "Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection". The first multi-class UAD model that can compete with single-class SOTAs ...
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