Learning Multi-Manifold Embedding for Out-Of-Distribution Detection

Jeng-Lin Li, Ming-Ching Chang, Wei-Chao Chen

Detecting out-of-distribution (OOD) samples is crucial for trustworthy AI in real-world applications. Leveraging recent advances in representation learning and latent embeddings, V…