GuansongPang

ADRepository-Anomaly-detection-datasets

ADRepository: Real-world anomaly detection datasets, including tabular data (categorical and numerical data), time series data, graph data, image data, and video data.

SOTA-Deep-Anomaly-Detection

List of implementation of SOTA deep anomaly detection methods

COCL

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

DRA

Official PyTorch implementation of the CVPR2022 paper “Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection”, open-set anomaly detection, few-shot anomaly detection.

jointgmc

Learning joint Euclidean and hyperbolic graph representations. Codes for "Joint hyperbolic and Euclidean geometry contrastive graph neural networks" published in Information Sciences

PReNet

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

VadCLIP

VadCLIP official Pytorch implementation "VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detection" in AAAI 2024.

CCD

Code for 'Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images' [MICCAI 2021]

GLocalKD

ADer

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

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 AnomalyCLIP (ICLR 2024)

ASE

This repository focuses on the problem of Zero-Shot Open-Set Recognition (ZS-OSR), which aims to accurately classify samples from unseen classes while being able to reject samples from unknown classes during inference.

AUGCL

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

couta

Unsupervised time series anomaly detection methods based on the calibrated one-class classifier

deep-iforest

implementation of deep isolation forest for anomaly detection

Glocal

[CVPR 2023] Glocal Energy-based Learning for Few-Shot Open-Set Recognition

Hate-Speech-Detection

Official implementation of the paper "Deep Learning for Hate Speech Detection -A Comparative Study"

HimNet

Code for 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"

IGD

Official code for 'Deep One-Class Classification via Interpolated Gaussian Descriptor' [AAAI 2022]

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"

PEBAL

Official code for 'Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentationon Complex Urban Driving Scenes' [ECCV 2022]

rosas

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

SIC-CADS

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

TAM-master

This code is for NeurIPS'23 paper "Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection"

weakly-polyp

[MICCAI'22] Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection.