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Found 3 papers, 1 papers with code
Nearest Neighbor Guidance for Out-of-Distribution Detection
Detecting out-of-distribution (OOD) samples are crucial for machine learning models deployed in open-world environments.
Ranked #1 on
Out-of-Distribution Detection
on ImageNet-1k vs Curated OODs (avg.)
(using extra training data)
Periocular Embedding Learning with Consistent Knowledge Distillation from Face
Overall, CKD empowers the sole periocular network to produce robust discriminative embeddings for periocular recognition in the wild.
Discriminative Multi-level Reconstruction under Compact Latent Space for One-Class Novelty Detection
In DCAE, (a) we force a compact latent space to bijectively represent the in-class data by reconstructing them through internal discriminative layers of generative adversarial nets.
