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Found 6 papers, 2 papers with code
AO-DETR: Anti-Overlapping DETR for X-Ray Prohibited Items Detection
Considering the significant overlapping phenomenon in X-ray prohibited item images, we propose an Anti-Overlapping DETR (AO-DETR) based on one of the state-of-the-art general object detectors, DINO.
Hierarchical-level rain image generative model based on GAN
RCCycleGAN is based on the generative adversarial network (GAN) and can generate images of light, medium, and heavy rain.
AGG-Net: Attention Guided Gated-convolutional Network for Depth Image Completion
In the encoding stage, an Attention Guided Gated-Convolution (AG-GConv) module is proposed to realize the fusion of depth and color features at different scales, which can effectively reduce the negative impacts of invalid depth data on the reconstruction.
An Ontology-based Method to Identify Triggering Conditions for Perception Insufficiency of Autonomous Vehicles
The autonomous vehicle (AV) is a safety-critical system relying on complex sensors and algorithms.
A Comparative Study on Application of Class-Imbalance Learning for Severity Prediction of Adverse Events Following Immunization
In collaboration with the Liaoning CDC, China, we propose a prediction system to predict the subsequent hospitalization of children with adverse reactions based on data on adverse events following immunization.
Learning Deep Representations by Mutual Information for Person Re-identification
Most existing person re-identification (ReID) methods have good feature representations to distinguish pedestrians with deep convolutional neural network (CNN) and metric learning methods.
