Industrial Image Anomaly Localization Based on Gaussian Clustering of Pre-trained Feature

Last update: Dec 25, 2022

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Overview

Industrial Image Anomaly Localization Based on Gaussian Clustering of Pre-trained Feature

Q. Wan, L. Gao, X. Li and L. Wen, "Industrial Image Anomaly Localization Based on Gaussian Clustering of Pre-trained Feature," in IEEE Transactions on Industrial Electronics, doi: 10.1109/TIE.2021.3094452.

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smiler

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Industrial Image Anomaly Localization Based on Gaussian Clustering of Pre-trained Feature

Related tags

Overview

Industrial Image Anomaly Localization Based on Gaussian Clustering of Pre-trained Feature

Q. Wan, L. Gao, X. Li and L. Wen, "Industrial Image Anomaly Localization Based on Gaussian Clustering of Pre-trained Feature," in IEEE Transactions on Industrial Electronics, doi: 10.1109/TIE.2021.3094452.

Owner

smiler

code for paper "Does Unsupervised Architecture Representation Learning Help Neural Architecture Search?"

Pytorch port of Google Research's LEAF Audio paper

Yoloxkeypointsegment - An anchor-free version of YOLO, with a simpler design but better performance

A general framework for inferring CNNs efficiently. Reduce the inference latency of MobileNet-V3 by 1.3x on an iPhone XS Max without sacrificing accuracy.

This repo provides function call to track multi-objects in videos

YOLOX-RMPOLY

Code and data form the paper BERT Got a Date: Introducing Transformers to Temporal Tagging

Convolutional 2D Knowledge Graph Embeddings resources

Exploring Simple Siamese Representation Learning

A fast, dataset-agnostic, deep visual search engine for digital art history

Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments (CoRL 2020)

[CVPR 2020] Interpreting the Latent Space of GANs for Semantic Face Editing

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Scripts for training an AI to play the endless runner Subway Surfers using a supervised machine learning approach by imitation and a convolutional neural network (CNN) for image classification

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