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Pedestrian attribute recognition based on attribute correlation
Pedestrian attribute recognition is widely used in pedestrian tracking and pedestrian re-identification. This task confronts two fundamental...
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Disentangled Attribute Features Vision Transformer for Pedestrian Attribute Recognition
Pedestrian attribute recognition, as a sub-task of multi-label classification, is influenced by the joint and coupled relationships among the...
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Attribute-wise reasoning reinforcement learning for pedestrian attribute retrieval
Pedestrian attribute retrieval (PAR) aims at retrieving soft-biometric attributes of pedestrian images from video surveillance. Despite advancements,...
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Pedestrian Attribute Recognition Based on Multimodal Transformer
Pedestrian attribute recognition (PAR) is susceptible to variable shooting angles, lighting, and occlusions. Improving recognition accuracy to suit...
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Visual Question Answering Models for Zero-Shot Pedestrian Attribute Recognition: A Comparative Study
Pedestrian Attribute Recognition (PAR) poses a significant challenge in develo** automatic systems that enhance visual surveillance and human...
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Pedestrian Attribute Recognition in Video Surveillance Scenarios Based on View-attribute Attention Localization
Pedestrian attribute recognition in surveillance scenarios is still a challenging task due to the inaccurate localization of specific attributes. In...
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Improving Pedestrian Attribute Recognition with Dense Feature Pyramid and Mixed Pooling
In the field of computer vision, pedestrian attribute recognition plays a crucial role in pedestrian detection and pedestrian re-identification....
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Research on Multi-scale Pedestrian Attribute Recognition Based on Dual Self-attention Mechanism
As one of the important fields of computer vision research, pedestrian attribute recognition has gained increasing attention from domestic and...
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FLSRNet: pedestrian attribute recognition using focal label smoothing regularization
The objective of pedestrian attribute recognition (PAR) is to recognize human attributes based on the appearance of pedestrians in images. The PAR...
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MCFL: multi-label contrastive focal loss for deep imbalanced pedestrian attribute recognition
Pedestrian Attribute Recognition (PAR) can provide valuable clues for several innovative surveillance applications. It is also a difficult task...
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Pedestrian Attribute Recognition Method Based on Multi-source Teacher Model Fusion
Existing pedestrian attribute recognition (PAR) methods usually use deep models to achieve attribute classification. However, the attribute...
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Evaluation of a Visual Question Answering Architecture for Pedestrian Attribute Recognition
Pedestrian attribute recognition (PAR) ensures public safety and security. By automatically detecting attributes such as clothing color, accessories,...
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Cascaded Split-and-Aggregate Learning with Feature Recombination for Pedestrian Attribute Recognition
Multi-label pedestrian attribute recognition in surveillance is inherently a challenging task due to poor imaging quality, large pose variations, and...
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Depthwise Separable Convolutional Neural Networks for Pedestrian Attribute Recognition
Video surveillance is ubiquitous. In addition to understanding various scene objects, extracting human visual attributes from the scene has attracted...
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Clothing attribute recognition algorithm based on improved YOLOv4-Tiny
Aiming at the problem of low accuracy of clothing attribute recognition caused by factors such as scale, occlusion and beyond the boundary, a novel...
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Person Reidentification using 3D inception based Spatio-temporal features learning, attribute recognition, and Reranking
Identifying pedestrians in video sequences captured by non-overlap** multi-cameras is referred to as video-based Person Re-identification. The...
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Visual Attention Consistency for Human Attribute Recognition
The recognition of a human attribute is usually determined by certain regions of the input image, e.g., certain part of the human body, and such...
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PAR Contest 2023: Pedestrian Attributes Recognition with Multi-task Learning
PAR Contest 2023 is a competition, organized within CAIP 2023 conference, among methods based on multi-task learning, aimed at the recognition of...
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Attribute-aware style adaptation for person re-identification
Person re-identification (re-ID) aims to address a unique challenge in cross-camera pedestrian retrieval, especially in the case of incomplete...
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Fully convolutional neural networks for LIDAR–camera fusion for pedestrian detection in autonomous vehicle
Pedestrian detection appears to be an integral part of a vast array of vision-based technologies, ranging from item recognition and monitoring via...
