This is an official implementation for "Block Selection Method for Using Feature Norm in Out-of-distribution Detection".
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Updated
May 21, 2024 - Python
This is an official implementation for "Block Selection Method for Using Feature Norm in Out-of-distribution Detection".
[ICLR 2024] R-EDL: Relaxing Nonessential Settings of Evidential Deep Learning
An end-to-end vision and language model incorporating explicit knowledge graphs and OOD-detection.
[ICCV'23 Oral] Unmasking Anomalies in Road-Scene Segmentation
A professionally curated list of papers, tutorials, books, videos, articles and open-source libraries etc for Out-of-distribution detection, robustness, and generalization
👽 Out-of-Distribution Detection with PyTorch
[ICCV'23] Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation
🔎 Multi-Class Hypersphere Anomaly Detection
The implementation of DS-FL+ (Energy-based Knowledge Distillation for Communication-Efficient Federated Learning, IEICE 2024 student poster session).
Package to accelerate research on generalized out-of-distribution (OOD) detection.
[ICLR 2024 Spotlight] "Negative Label Guided OOD Detection with Pretrained Vision-Language Models"
[NeurIPS 2023] RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions
[WACV 2024] Official PyTorch implementation of Brainomaly
✌[ICLR 2024] Class Incremental Learning via Likelihood Ratio Based Task Prediction
Out-of-distribution detection using the pNML regret. NeurIPS2021
An end-to-end multimodal framework incorporating explicit knowledge graphs and OOD-detection. (NeurIPS23)
[ICCV 2023] The official implementation of paper "DiffGuard: Semantic Mismatch-Guided Out-of-Distribution Detection using Pre-trained Diffusion Models"
Official PyTorch implementation of MOOD series: (1) MOODv1: Rethinking Out-of-distributionDetection: Masked Image Modeling Is All You Need. (2) MOODv2: Masked Image Modeling for Out-of-Distribution Detection.
Python code to implement an efficient approach to unsupervised OOD detection with VAE
A curated list of resources for OOD detection with graph data.
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