5 citations · 8 across the 3 of their papers we have counts for
4 papers
UDC 2020 Challenge on Image Restoration of Under-Display Camera: Methods and Results
Yuqian Zhou, Michael Kwan, Kyle Tolentino +42
This paper is the report of the first Under-Display Camera (UDC) image restoration challenge in conjunction with the RLQ workshop at ECCV 2020. The challenge is based on a newly-co…
DDR-ID: Dual Deep Reconstruction Networks Based Image Decomposition for Anomaly Detection
Dongyun Lin, Yiqun Li, Shudong Xie +2
One pivot challenge for image anomaly (AD) detection is to learn discriminative information only from normal class training images. Most image reconstruction based AD methods rely…
Few-Shot Defect Segmentation Leveraging Abundant Normal Training Samples Through Normal Background Regularization and Crop-and-Paste Operation
Dongyun Lin, Yanpeng Cao, Wenbing Zhu +1
In industrial product quality assessment, it is essential to determine whether a product is defect-free and further analyze the severity of anomality. To this end, accurate defect…
FaultNet: Faulty Rail-Valves Detection using Deep Learning and Computer Vision
Ramanpreet Singh Pahwa, Jin Chao, Jestine Paul +7
Regular inspection of rail valves and engines is an important task to ensure the safety and efficiency of railway networks around the globe. Over the past decade, computer vision a…