CAM-guided Multi-Path Decoding U-Net with Triplet Feature Regularization for Defect Detection and Segmentation

Automated Visual Defect Detection for Flat Steel Surface: A Survey

(2020) Qiwu Luo et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Intelligent detection of building cracks based on deep learning

(2020) Minjuan Zheng et al.   IMAGE AND VISION COMPUTING

RefineU-Net: Improved U-Net with progressive global feedbacks and residual attention guided local refinement for medical image segmentation

(2020) Dongyun Lin et al.   PATTERN RECOGNITION LETTERS

Attention gated networks: Learning to leverage salient regions in medical images

(2019) Jo Schlemper et al.   MEDICAL IMAGE ANALYSIS

USE-Net: Incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets

(2019) Leonardo Rundo et al.   NEUROCOMPUTING

An End-to-End Steel Surface Defect Detection Approach via Fusing Multiple Hierarchical Features

(2019) Yu He et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation

(2019) Zongwei Zhou et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Anomaly Detection in Nanofibrous Materials by CNN-Based Self-Similarity

(2018) Paolo Napoletano et al.   SENSORS

Unsupervised Novelty Detection Using Deep Autoencoders with Density Based Clustering

(2018) Tsatsral Amarbayasgalan et al.   Applied Sciences-Basel

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

(2017) Vijay Badrinarayanan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A mixed-scale dense convolutional neural network for image analysis

(2017) Daniël M. Pelt et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

A review of novelty detection

(2014) Marco A.F. Pimentel et al.   SIGNAL PROCESSING

Anomaly detection

(2009) Varun Chandola et al.   ACM COMPUTING SURVEYS