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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.
Mask-adaptive Gated Convolution and Bi-directional Progressive Fusion Network for Depth Completion
Depth completion is a critical task for handling depth images with missing pixels, which can negatively impact further applications.
Prior Knowledge Guided Network for Video Anomaly Detection
Video Anomaly Detection (VAD) involves detecting anomalous events in videos, presenting a significant and intricate task within intelligent video surveillance.
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.
Feature Diversity Learning with Sample Dropout for Unsupervised Domain Adaptive Person Re-identification
Clustering-based approach has proved effective in dealing with unsupervised domain adaptive person re-identification (ReID) tasks.
Domain Adaptive Person Re-Identification
Person Re-Identification
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.
