Pedestrian Attribute Recognition
28 papers with code • 5 benchmarks • 5 datasets
Pedestrian attribution recognition is the task of recognizing pedestrian features - such as whether they are talking on a phone, whether they have a backpack, and so on.
( Image credit: HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis )
Benchmarks
These leaderboards are used to track progress in Pedestrian Attribute Recognition
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Libraries
Use these libraries to find Pedestrian Attribute Recognition models and implementations
PETA
PA-100K
UAV-Human
RAP
CAR
Latest papers with no code
Knowledge Assembly: Semi-Supervised Multi-Task Learning from Multiple Datasets with Disjoint Labels
In real-world scenarios we often need to perform multiple tasks simultaneously.
Learning Disentangled Label Representations for Multi-label Classification
The specificity of the framework lies in a feature disentangle module, which contains learnable semantic queries and a Semantic Spatial Cross-Attention (SSCA) module.
Reinforced Pedestrian Attribute Recognition with Group Optimization Reward
Pedestrian Attribute Recognition (PAR) is a challenging task in intelligent video surveillance.
Robust Pedestrian Attribute Recognition Using Group Sparsity for Occlusion Videos
To solve the uncorrelated attention issue, we also propose a novel group sparsity-based temporal attention module.
Spatial and Semantic Consistency Regularizations for Pedestrian Attribute Recognition
To fully exploit inter-image relations and aggregate human prior in the model learning process, we construct a Spatial and Semantic Consistency (SSC) framework that consists of two complementary regularizations to achieve spatial and semantic consistency for each attribute.
Pedestrian Attribute Recognition in Video Surveillance Scenarios Based on View-attribute Attention Localization
A specific view-attribute is composed by the extracted attribute feature and four view scores which are predicted by view predictor as the confidences for attribute from different views.
Deep Template Matching for Pedestrian Attribute Recognition with the Auxiliary Supervision of Attribute-wise Keypoints
Pedestrian Attribute Recognition (PAR) has aroused extensive attention due to its important role in video surveillance scenarios.
Identity-Aware Attribute Recognition via Real-Time Distributed Inference in Mobile Edge Clouds
In this paper, we design novel models for pedestrian attribute recognition with re-ID in an MEC-enabled camera monitoring system.
Data Augmentation Imbalance For Imbalanced Attribute Classification
Pedestrian attribute recognition is an important multi-label classification problem.
Multi-Task Learning via Co-Attentive Sharing for Pedestrian Attribute Recognition
In this paper, we propose a novel Co-Attentive Sharing (CAS) module which extracts discriminative channels and spatial regions for more effective feature sharing in multi-task learning.
