About

Pedestrian detection is the task of detecting pedestrians from a camera.

Further state-of-the-art results (e.g. on the KITTI dataset) can be found at 3D Object Detection.

( Image credit: High-level Semantic Feature Detection: A New Perspective for Pedestrian Detection )

Benchmarks

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Datasets

Greatest papers with code

Fast Algorithms for Convolutional Neural Networks

CVPR 2016 XiaoMi/mace

The algorithms compute minimal complexity convolution over small tiles, which makes them fast with small filters and small batch sizes.

PEDESTRIAN DETECTION SELF-DRIVING CARS

Gliding vertex on the horizontal bounding box for multi-oriented object detection

21 Nov 2019xuannianz/EfficientDet

Yet, the widely adopted horizontal bounding box representation is not appropriate for ubiquitous oriented objects such as objects in aerial images and scene texts.

OBJECT DETECTION IN AERIAL IMAGES PEDESTRIAN DETECTION SCENE TEXT SCENE TEXT DETECTION

High-Level Semantic Feature Detection: A New Perspective for Pedestrian Detection

CVPR 2019 liuwei16/CSP

Like edges, corners, blobs and other feature detectors, the proposed detector scans for feature points all over the image, for which the convolution is naturally suited.

OBJECT DETECTION PEDESTRIAN DETECTION

Joint Detection and Identification Feature Learning for Person Search

CVPR 2017 ShuangLI59/person_search

Existing person re-identification benchmarks and methods mainly focus on matching cropped pedestrian images between queries and candidates.

PEDESTRIAN DETECTION PERSON RE-IDENTIFICATION PERSON SEARCH

Scene-Specific Pedestrian Detection Based on Parallel Vision

23 Dec 2017rbgirshick/voc-dpm

In order to make the generic scene pedestrian detectors work well in specific scenes, the labeled data from specific scenes are needed to adapt the models to the specific scenes.

OBJECT DETECTION PEDESTRIAN DETECTION

A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection

25 Jul 2016zhaoweicai/mscnn

A unified deep neural network, denoted the multi-scale CNN (MS-CNN), is proposed for fast multi-scale object detection.

FACE DETECTION PEDESTRIAN DETECTION REAL-TIME OBJECT DETECTION

Accurate Single Stage Detector Using Recurrent Rolling Convolution

CVPR 2017 xiaohaoChen/rrc_detection

In this paper, we proposed a novel single stage end-to-end trainable object detection network to overcome this limitation.

3D OBJECT DETECTION PEDESTRIAN DETECTION

Generalizable Pedestrian Detection: The Elephant In The Room

19 Mar 2020hasanirtiza/Pedestron

Furthermore, we illustrate that diverse and dense datasets, collected by crawling the web, serve to be an efficient source of pre-training for pedestrian detection.

 Ranked #1 on Pedestrian Detection on Caltech (using extra training data)

AUTONOMOUS DRIVING PEDESTRIAN DETECTION

Repulsion Loss: Detecting Pedestrians in a Crowd

CVPR 2018 bailvwangzi/repulsion_loss_ssd

In this paper, we first explore how a state-of-the-art pedestrian detector is harmed by crowd occlusion via experimentation, providing insights into the crowd occlusion problem.

Ranked #4 on Pedestrian Detection on Caltech (using extra training data)

PEDESTRIAN DETECTION

Pedestrian-Synthesis-GAN: Generating Pedestrian Data in Real Scene and Beyond

5 Apr 2018yueruchen/sppnet-pytorch

The results show that our framework can smoothly synthesize pedestrians on background images of variations and different levels of details.

PEDESTRIAN DETECTION