🎯 Object Detection

🧠 NeurIPS2026 · 1 paper notes

📌 Same area in other venues: 🎞️ ECCV2026 (79) · 📷 CVPR2026 (99) · 🔬 ICLR2026 (30) · 🧪 ICML2026 (7) · 🤖 AAAI2026 (29) · 🧠 NeurIPS2025 (27)

Beyond Normal References: Discriminative Few-Shot Anomaly Detection

IDEAL uses a fixed set of few normal and masked anomalous references to suppress local normal variations, extract diverse intrinsic deviation directions, and score their projections, improving seen and unseen anomaly detection without target-domain retraining; under N1A1, it achieves 96.3 / 96.8 image-level / pixel-level AUROC on MVTecAD.