Segment-Any-Anomaly

Image anomaly detector

An implementation of a method to identify anomalies in images without needing training data

Official implementation of "Segment Any Anomaly without Training via Hybrid Prompt Regularization (SAA+)".

GitHub

753 stars
10 watching
75 forks
Language: Jupyter Notebook
last commit: 12 months ago
anomaly-detectionfoundationzero-shot

Related projects:

Repository Description Stars
meiqihu/acda Detects anomalies in hyperspectral images using an autoencoder-based approach 45
business-science/anomalize A package providing functions to decompose and detect anomalies in time series data 339
masaiahhan/correlationqa An investigation into the relationship between misleading images and hallucinations in large language models 8
jingzhang617/cod-rank-localize-and-segment Develops a system to detect, segment, and rank camouflaged objects in images. 74
arundo/adtk A toolkit for rule-based and unsupervised anomaly detection in time series data 1,108
iqiukp/svdd-matlab A MATLAB implementation of Support Vector Data Description (SVDD) for anomaly detection and classification. 78
shengcao-cao/hassod Develops a neural network architecture for object detection and instance segmentation without labeled data 52
nathanielc/morgoth An anomaly detection framework for flexible and efficient metric analysis 280
travisbgreen/hunting-rules Provides Suricata IDS alert rules for detecting network anomalies 154
xingyizhou/extremenet An object detection framework that uses extreme and center points to detect objects in images. 1,032
lartpang/ovcamo Develops an object segmentation algorithm to detect camouflaged objects in images with varying backgrounds and contexts. 20
ltnghia/anet Develops an algorithm to segment camouflaged objects in images using a neural network architecture called Anabranch Network. 4
zhao-tong/graph-anomaly-loss This repository provides code for training a model to detect anomalies in graph data using pattern mining and feature learning. 40
jingchuncheng/seg-with-spn This project provides code and pre-trained models for object segmentation in videos using a spatial propagation network. 144
henyau/image-segmentation-with-unet Automated image segmentation of road and vehicle features from video data using the U-Net algorithm 15