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06/13/2023
VISION Datasets: A Benchmark for Vision-based InduStrial InspectiON
Despite progress in vision-based inspection algorithms, real-world indus...
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05/19/2023
Tune-Mode ConvBN Blocks For Efficient Transfer Learning
Convolution-BatchNorm (ConvBN) blocks are integral components in various...
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02/24/2023
RGI: robust GAN-inversion for mask-free image inpainting and unsupervised pixel-wise anomaly detection
Generative adversarial networks (GANs), trained on a large-scale image d...
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11/21/2022
DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly Detection
Visual anomaly detection, an important problem in computer vision, is us...
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03/28/2022
PAEDID: Patch Autoencoder Based Deep Image Decomposition For Pixel-level Defective Region Segmentation
Unsupervised pixel-level defective region segmentation is an important t...
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03/03/2022
Synthetic Defect Generation for Display Front-of-Screen Quality Inspection: A Survey
Display front-of-screen (FOS) quality inspection is essential for the ma...
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03/02/2022
Information Gain Propagation: a new way to Graph Active Learning with Soft Labels
Graph Neural Networks (GNNs) have achieved great success in various task...
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11/22/2021
Self-supervised Semi-supervised Learning for Data Labeling and Quality Evaluation
As the adoption of deep learning techniques in industrial applications g...
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10/28/2021
RIM: Reliable Influence-based Active Learning on Graphs
Message passing is the core of most graph models such as Graph Convoluti...
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05/19/2021
BatchQuant: Quantized-for-all Architecture Search with Robust Quantizer
As the applications of deep learning models on edge devices increase at ...
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05/11/2021
