A multi-branch separable convolution neural network for pedestrian attribute recognition
Sign Up to like & getrecommendations! Published in 2020 at "Heliyon"
DOI: 10.1016/j.heliyon.2020.e03563
Abstract: Video surveillance applications have made great strides in making the world a safer place. Extracting visual attributes from a scene, such as the type of shoes, the type of clothing, carrying any object or not,… read more here.
Keywords: attribute recognition; pedestrian attribute; neural network; multi branch ... See more keywords
A Simple Visual-Textual Baseline for Pedestrian Attribute Recognition
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3178144
Abstract: Pedestrian attribute recognition (PAR), which aims to identify attributes of the pedestrians captured in video surveillance, is a challenging task due to the poor quality of images and diverse spatial distribution among attributes. Existing methods… read more here.
Keywords: attribute; baseline; attribute recognition; pedestrian attribute ... See more keywords
Drop Loss for Person Attribute Recognition With Imbalanced Noisy-Labeled Samples.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2022.3173356
Abstract: Person attribute recognition (PAR) aims to simultaneously predict multiple attributes of a person. Existing deep learning-based PAR methods have achieved impressive performance. Unfortunately, these methods usually ignore the fact that different attributes have an imbalance… read more here.
Keywords: loss; attribute recognition; drop loss; noisy labeled ... See more keywords
Incremental Pedestrian Attribute Recognition via Dual Uncertainty-Aware Pseudo-Labeling
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2023.3268887
Abstract: Incremental pedestrian attribute recognition (IncPAR) aims to learn novel person attributes continuously and avoid the catastrophic forgetting, which is an essential problem for image forensic and security applications, e.g., suspect search. Different from the conventional… read more here.
Keywords: attribute; uncertainty; incremental pedestrian; attribute recognition ... See more keywords
Correlation Graph Convolutional Network for Pedestrian Attribute Recognition
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DOI: 10.1109/tmm.2020.3045286
Abstract: The pedestrian attribute recognition aims at generating the structured description of pedestrian, which plays an important role in surveillance. However, it is difficult to achieve accurate recognition results due to diverse illumination, partial body occlusion… read more here.
Keywords: recognition; graph convolutional; attribute; correlation graph ... See more keywords
Human Attribute Recognition— A Comprehensive Survey
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DOI: 10.3390/app10165608
Abstract: Human Attribute Recognition (HAR) is a highly active research field in computer vision and pattern recognition domains with various applications such as surveillance or fashion. Several approaches have been proposed to tackle the particular challenges… read more here.
Keywords: attribute recognition; human attribute; survey; recognition ... See more keywords