Block Selection Method for Using Feature Norm in Out-of-distribution Detection
Detecting out-of-distribution (OOD) inputs during the inference stage iscrucial for deploying neural networks in the real world. Previous methodscommonly relied on the output of a network derived from the highly activatedfeature map. In this study, we first revealed that a norm of the feature map…
Yeonguk Yu
ImageBind: Holistic AI learning across six modalities
ImageBind is the first AI model capable of binding information from six modalities.
