Human Detection
41 papers with code • 0 benchmarks • 8 datasets
Benchmarks
Datasets
UCF-CC-50
TinyPerson
PTB-TIR
JRDB
MIAP
TikTok Dataset
Greatest papers with code
RMPE: Regional Multi-person Pose Estimation
MVIG-SJTU/AlphaPose
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ICCV 2017
In this paper, we propose a novel regional multi-person pose estimation (RMPE) framework to facilitate pose estimation in the presence of inaccurate human bounding boxes.
Ranked #1 on
Pose Estimation
on UAV-Human
Detect-and-Track: Efficient Pose Estimation in Videos
facebookresearch/DetectAndTrack
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CVPR 2018
This paper addresses the problem of estimating and tracking human body keypoints in complex, multi-person video.
Ranked #6 on
Keypoint Detection
on COCO test-challenge
3D Dynamic Scene Graphs: Actionable Spatial Perception with Places, Objects, and Humans
MIT-SPARK/Kimera
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Our second contribution is to provide the first fully automatic Spatial PerceptIon eNgine(SPIN) to build a DSG from visual-inertial data.
The 1st Tiny Object Detection Challenge:Methods and Results
The 1st Tiny Object Detection (TOD) Challenge aims to encourage research in developing novel and accurate methods for tiny object detection in images which have wide views, with a current focus on tiny person detection.
Scale Match for Tiny Person Detection
In this paper, we introduce a new benchmark, referred to as TinyPerson, opening up a promising directionfor tiny object detection in a long distance and with mas-sive backgrounds.
MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network
salihkaragoz/pose-residual-network-pytorch
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ECCV 2018
In this paper, we present MultiPoseNet, a novel bottom-up multi-person pose estimation architecture that combines a multi-task model with a novel assignment method.
Ranked #5 on
Multi-Person Pose Estimation
on COCO
GLTR: Statistical Detection and Visualization of Generated Text
The rapid improvement of language models has raised the specter of abuse of text generation systems.
Context-aware CNNs for person head detection
aosokin/cnn_head_detection
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ICCV 2015
First, we leverage person-scene relations and propose a Global CNN model trained to predict positions and scales of heads directly from the full image.
Sequential End-to-end Network for Efficient Person Search
Person search aims at jointly solving Person Detection and Person Re-identification (re-ID).
Ranked #1 on
Person Search
on CUHK-SYSU
Fooling automated surveillance cameras: adversarial patches to attack person detection
Some of these approaches have also shown that these attacks are feasible in the real-world, i. e. by modifying an object and filming it with a video camera.