Catalyst improves OOD detection by multiplicatively scaling baseline scores using channel-wise statistics from pre-pooling feature maps, reducing average FPR by 22-33% on standard benchmarks.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.CV 2years
2026 2representative citing papers
DAVIS enriches GAP-derived features with variance and max activations to lower FPR95 in OOD detection across ResNet, DenseNet, and EfficientNet on CIFAR and ImageNet benchmarks.
citing papers explorer
-
Catalyst: Out-of-Distribution Detection via Elastic Scaling
Catalyst improves OOD detection by multiplicatively scaling baseline scores using channel-wise statistics from pre-pooling feature maps, reducing average FPR by 22-33% on standard benchmarks.
-
DAVIS: OOD Detection via Dominant Activations and Variance for Increased Separation
DAVIS enriches GAP-derived features with variance and max activations to lower FPR95 in OOD detection across ResNet, DenseNet, and EfficientNet on CIFAR and ImageNet benchmarks.