About

Anomaly Detection, Anomaly Segmentation, Novelty Detection, Out-of-Distribution Detection

Benchmarks

TREND DATASET BEST METHOD PAPER TITLE PAPER CODE COMPARE

Subtasks

Datasets

Latest papers with code

Effect of Deep Transfer and Multi task Learning on Sperm Abnormality Detection

21 Nov 2021amirabbasii/Effect-of-Deep-Transfer-and-Multi-task-Learning-on-Sperm-Abnormality-Detection

Moreover, this is the first time that the concept of multi-task learning has been introduced to the field of Sperm Morphology Analysis (SMA).

ANOMALY DETECTION MULTI-TASK LEARNING

3
21 Nov 2021

A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection

29 Apr 2021shellysheynin/HTDG-model

We demonstrate the superiority of our method on both the one-shot and few-shot settings, on the datasets of Paris, CIFAR10, MNIST and FashionMNIST as well as in the setting of defect detection on MVTec.

ANOMALY DETECTION DEFECT DETECTION

6
29 Apr 2021

Multi-view Deep One-class Classification: A Systematic Exploration

27 Apr 2021liujiyuan13/MvDOCC-code

Third, to remedy the problem that limited benchmark datasets are available for multi-view deep OCC, we extensively collect existing public data and process them into more than 30 new multi-view benchmark datasets via multiple means, so as to provide a publicly available evaluation platform for multi-view deep OCC.

ANOMALY DETECTION CLASSIFICATION

1
27 Apr 2021

ODDObjects: A Framework for Multiclass Unsupervised Anomaly Detection on Masked Objects

26 Apr 2021ricky-ma/ODDObjects

This paper presents a novel framework for unsupervised anomaly detection on masked objects called ODDObjects, which stands for Out-of-Distribution Detection on Objects.

IMAGE RECONSTRUCTION OBJECT RECOGNITION OUT-OF-DISTRIBUTION DETECTION UNSUPERVISED ANOMALY DETECTION

0
26 Apr 2021

An End-to-End Computer Vision Methodology for Quantitative Metallography

22 Apr 2021matanr/MLography

(4) Deep anomaly detection and pattern recognition is performed on the inclusions masks to determine spatial, shape and area anomaly detection of the inclusions.

ANOMALY DETECTION IMAGE INPAINTING SEMANTIC SEGMENTATION

0
22 Apr 2021

A Lightweight Concept Drift Detection and Adaptation Framework for IoT Data Streams

21 Apr 2021Western-OC2-Lab/OASW-Concept-Drift-Detection-and-Adaptation

In recent years, with the increasing popularity of "Smart Technology", the number of Internet of Things (IoT) devices and systems have surged significantly.

ANOMALY DETECTION

2
21 Apr 2021

What is Wrong with One-Class Anomaly Detection?

20 Apr 2021JuneKyu/CLAD

From a safety perspective, a machine learning method embedded in real-world applications is required to distinguish irregular situations.

ANOMALY DETECTION

3
20 Apr 2021

Learning Normal Dynamics in Videos with Meta Prototype Network

14 Apr 2021ktr-hubrt/MPN

Frame reconstruction (current or future frame) based on Auto-Encoder (AE) is a popular method for video anomaly detection.

ANOMALY DETECTION META-LEARNING

15
14 Apr 2021

ADNet: Temporal Anomaly Detection in Surveillance Videos

14 Apr 2021hibrahimozturk/temporal_anomaly_detection

Additionally, we propose to use F1@k metric for temporal anomaly detection.

ANOMALY DETECTION IN SURVEILLANCE VIDEOS

1
14 Apr 2021

Mixed supervision for surface-defect detection: from weakly to fully supervised learning

13 Apr 2021vicoslab/mixed-segdec-net-comind2021

We also show that mixed supervision with only a handful of fully annotated samples added to weakly labelled training images can result in performance comparable to the fully supervised model's performance but at a significantly lower annotation cost.

ANOMALY DETECTION DEFECT DETECTION WEAKLY SUPERVISED DEFECT DETECTION

14
13 Apr 2021