mala-lab Goto Github PK

.github

act

The official PyTorch implementation of Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment (AAAI2023, to appear).

ader

ADer is an open source visual anomaly detection toolbox based on PyTorch, which supports multiple popular AD datasets and approaches.

adrepository-anomaly-detection-datasets

Popular real-world datasets for anomaly detection on tabular data, graph data, image data, time series data, and video data

adshift

Official PyTorch implementation of the ICCV'23 paper “Anomaly Detection under Distribution Shift”

ahl

Official implementation of CVPR'24 paper 'Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection'.

anomalyclip

Official implementation for paper "Anomalyclip: Object-agnostic prompt learning for zero-shot anomaly detection" (ICLR 2024)

ase

Source code of PRJ paper "Learning Adversarial Semantic Embeddings for Zero-Shot Recognition in Open Worlds"

augcl

Official code for TNNLS paper "Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive Learning"

awesome-deep-graph-anomaly-detection

A repository for resources of deep learning-based graph anomaly detection.

cocl

Official implementation for "Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning" (AAAI'24)

couta

Implementation of TKDE paper "Calibrated One-class classification-based Unsupervised Time series Anomaly detection"

deep-iforest

Implementation of TKDE paper "Deep Isolation Forest for Anomaly Detection"

devnet

Official implementation of KDD'19 paper "Deep Anomaly Detection with Deviation Networks"

dra

Official PyTorch implementation of the paper “Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection”, open-set anomaly detection, few-shot anomaly detection, semi-supervised anomaly detection.

ggad

This code is for paper "Generative Semi-supervised Graph Anomaly Detection"

glocal

Implementation of CVPR'23 paper "Glocal Energy-based Learning for Few-Shot Open-Set Recognition"

glocalkd

Official implementation of the paper Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation(WSDM22)

himnet

Code for ECMLPKDD23 paper "Graph-level Anomaly Detection via Hierarchical Memory Networks" (HimNet)

hrgcn

Code Repository for Paper "HRGCN: Heterogeneous Graph-level Anomaly Detection with Hierarchical Relation-augmented Graph Neural Networks"

inctrl

Official implementation of CVPR'24 paper 'Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Prompts'.

mepu-owod

Code Implementation of "Unsupervised Recognition of Unknown Objects for Open-World Object Detection"

negprompt

The official implementation of CVPR 24' Paper "Learning Transferable Negative Prompts for Out-of-Distribution Detection"

opencil

Official code for paper "OpenCIL: Benchmarking Out-of-Distribution Detection in Class-Incremental Learning"

out-of-distribution-detection-resources

Top-tier conference papers on out-of-distribution detection

pebal

[ECCV'22 Oral] Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes. Dealing with out-of-distribution detection or open-set recognition in semantic segmentation.

prenet

Official implementation of KDD'23 paper "Deep Weakly-supervised Anomaly Detection"

rosas

Official implementation of RoSAS: Deep Semi-supervised Anomaly Detection with Contamination-resilient Continuous Supervision

rpl

Implementation of ICCV'23 paper "Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation"

sic-cads

Code Implementation of "Simple Image-level Classification Improves Open-vocabulary Object Detection" (AAAI'24)