Multi-layer feature prototypes using cosine similarity improve out-of-distribution detection in image classification without additional training.
In: Proceedings of the IEEE/CVF Conference on Com- puter Vision and Pattern Recognition (CVPR)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Prototype Fusion: A Training-Free Multi-Layer Approach to OOD Detection
Multi-layer feature prototypes using cosine similarity improve out-of-distribution detection in image classification without additional training.