Guansong's repositories
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
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
GGAD
This code is for the paper titled with Generative Semi-supervised Graph Anomaly Detection
Glocal
[CVPR 2023] Glocal Energy-based Learning for Few-Shot Open-Set Recognition
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"
OpenCIL
Official code for paper "OpenCIL: Benchmarking Out-of-Distribution Detection in Class-Incremental Learning"
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"
TriAD
Welcome to the official repository for the paper "Unraveling the 'Anomaly' in Time Series Anomaly Detection: A Self-supervised Tri-domain Solution." This repository houses the implementation of the proposed solution, providing a self-supervised tri-domain approach for effective time series anomaly detection.
weakly-polyp
[MICCAI'22] Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection.