About

Pedestrian attribution recognition is the task of recognising 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

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Datasets

Greatest papers with code

Deep Residual Learning for Image Recognition

CVPR 2016 tensorflow/models

Deep residual nets are foundations of our submissions to ILSVRC & COCO 2015 competitions, where we also won the 1st places on the tasks of ImageNet detection, ImageNet localization, COCO detection, and COCO segmentation.

DOMAIN GENERALIZATION FINE-GRAINED IMAGE CLASSIFICATION IMAGE-TO-IMAGE TRANSLATION OBJECT DETECTION PEDESTRIAN ATTRIBUTE RECOGNITION PEDESTRIAN TRAJECTORY PREDICTION PERSON RE-IDENTIFICATION RETINAL OCT DISEASE CLASSIFICATION SEMANTIC SEGMENTATION

Densely Connected Convolutional Networks

CVPR 2017 pytorch/vision

Recent work has shown that convolutional networks can be substantially deeper, more accurate, and efficient to train if they contain shorter connections between layers close to the input and those close to the output.

BREAST TUMOUR CLASSIFICATION CROWD COUNTING IMAGE CLASSIFICATION OBJECT RECOGNITION PEDESTRIAN ATTRIBUTE RECOGNITION PERSON RE-IDENTIFICATION

HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis

ICCV 2017 xh-liu/HydraPlus-Net

Pedestrian analysis plays a vital role in intelligent video surveillance and is a key component for security-centric computer vision systems.

PEDESTRIAN ATTRIBUTE RECOGNITION PERSON RE-IDENTIFICATION

UAV-Human: A Large Benchmark for Human Behavior Understanding with Unmanned Aerial Vehicles

2 Apr 2021SUTDCV/UAV-Human

Human behavior understanding with unmanned aerial vehicles (UAVs) is of great significance for a wide range of applications, which simultaneously brings an urgent demand of large, challenging, and comprehensive benchmarks for the development and evaluation of UAV-based models.

ACTION RECOGNITION PEDESTRIAN ATTRIBUTE RECOGNITION PERSON RE-IDENTIFICATION POSE ESTIMATION

A Richly Annotated Dataset for Pedestrian Attribute Recognition

23 Mar 2016ajithvallabai/Pedestrian_Attribute_Recognition

RAP has in total 41, 585 pedestrian samples, each of which is annotated with 72 attributes as well as viewpoints, occlusions, body parts information.

PEDESTRIAN ATTRIBUTE RECOGNITION