Pinned 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.
COCL
Official implementation for "Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning" (AAAI'24)
deep-outlier-detection
Deep distance-based outlier detection published in KDD18: Learning representations specifically for distance-based outlier detection. Few-shot outlier detection
deviation-network
Source code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection, few-shot anomaly detection, semi-supervised anomaly detection
DFB
Official PyTorch implementation of the ACM Multimedia 2024 paper “Improving Out-of-distribution Detection with Disentangled Foreground and Background Features”
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.
DSFS
Unsupervised Feature Selection for Outlier Detection
SOTA-Deep-Anomaly-Detection
List of implementation of SOTA deep anomaly detection methods
deviation-network-image
Official PyTorch implementation of the paper “Explainable Deep Few-shot Anomaly Detection with Deviation Networks”, weakly/partially supervised anomaly detection, few-shot anomaly detection, image defect detection.
PReNet
Official implementation of KDD'23 paper "Deep Weakly-supervised Anomaly Detection"
GuansongPang's Repositories
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.
GuansongPang/COCL
Official implementation for "Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning" (AAAI'24)
GuansongPang/DFB
Official PyTorch implementation of the ACM Multimedia 2024 paper “Improving Out-of-distribution Detection with Disentangled Foreground and Background Features”
GuansongPang/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.
GuansongPang/PReNet
Official implementation of KDD'23 paper "Deep Weakly-supervised Anomaly Detection"
GuansongPang/VadCLIP
VadCLIP official Pytorch implementation "VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detection" in AAAI 2024.
GuansongPang/ADer
ADer is an open source visual anomaly detection toolbox based on PyTorch, which supports multiple popular AD datasets and approaches.
GuansongPang/ADShift
Official PyTorch implementation of the ICCV'23 paper “Anomaly Detection under Distribution Shift”
GuansongPang/AHL
Official implementation of CVPR'24 paper 'Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection'.
GuansongPang/AnomalyCLIP
Official implementation for AnomalyCLIP (ICLR 2024)
GuansongPang/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.
GuansongPang/AUGCL
Official code for TNNLS paper "Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive Learning"
GuansongPang/Awesome-Deep-Graph-Anomaly-Detection
Official repository for survey paper "Deep Graph Anomaly Detection: A Survey and New Perspectives", including diverse types of resources for graph anomaly detection.
GuansongPang/couta
Unsupervised time series anomaly detection methods based on the calibrated one-class classifier
GuansongPang/deep-iforest
implementation of deep isolation forest for anomaly detection
GuansongPang/GGAD
This code is for the paper titled with Generative Semi-supervised Graph Anomaly Detection
GuansongPang/Glocal
[CVPR 2023] Glocal Energy-based Learning for Few-Shot Open-Set Recognition
GuansongPang/HimNet
Code for Graph-level Anomaly Detection via Hierarchical Memory Networks (HimNet)
GuansongPang/HRGCN
Code Repository for Paper "HRGCN: Heterogeneous Graph-level Anomaly Detection with Hierarchical Relation-augmented Graph Neural Networks"
GuansongPang/InCTRL
Official implementation of CVPR'24 paper 'Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Prompts'.
GuansongPang/mepu-owod
Code Implementation of "Unsupervised Recognition of Unknown Objects for Open-World Object Detection"
GuansongPang/NegPrompt
The official implementation of CVPR 24' Paper "Learning Transferable Negative Prompts for Out-of-Distribution Detection"
GuansongPang/OpenCIL
Official code for paper "OpenCIL: Benchmarking Out-of-Distribution Detection in Class-Incremental Learning"
GuansongPang/PEBAL
Official code for 'Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentationon Complex Urban Driving Scenes' [ECCV 2022]
GuansongPang/rosas
official implementation of RoSAS: Deep Semi-supervised Anomaly Detection with Contamination-resilient Continuous Supervision
GuansongPang/SIC-CADS
Code Implementation of "Simple Image-level Classification Improves Open-vocabulary Object Detection" (AAAI'24)
GuansongPang/TAM-master
This code is for NeurIPS'23 paper "Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection"
GuansongPang/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.
GuansongPang/UNPrompt
Code for "Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts"
GuansongPang/weakly-polyp
[MICCAI'22] Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection.