Pedestrian Detection

53 papers with code • 2 benchmarks • 8 datasets

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 )

Greatest papers with code

Fast Algorithms for Convolutional Neural Networks

XiaoMi/mace CVPR 2016

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

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

liuwei16/CSP CVPR 2019

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

ShuangLI59/person_search CVPR 2017

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

Pedestrian Detection Person Re-Identification +1

Scene-Specific Pedestrian Detection Based on Parallel Vision

rbgirshick/voc-dpm 23 Dec 2017

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

zhaoweicai/mscnn 25 Jul 2016

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

Face Detection Pedestrian Detection +1

Generalizable Pedestrian Detection: The Elephant In The Room

hasanirtiza/Pedestron 19 Mar 2020

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

Accurate Single Stage Detector Using Recurrent Rolling Convolution

xiaohaoChen/rrc_detection CVPR 2017

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

Repulsion Loss: Detecting Pedestrians in a Crowd

bailvwangzi/repulsion_loss_ssd CVPR 2018

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

yueruchen/sppnet-pytorch 5 Apr 2018

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

Pedestrian Detection