Human Detection
Leaderboards
Greatest papers with code
RMPE: Regional Multi-person Pose Estimation
ICCV 2017
• MVIG-SJTU/AlphaPose
• 
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.
Detect-and-Track: Efficient Pose Estimation in Videos
This paper addresses the problem of estimating and tracking human body keypoints in complex, multi-person video.
#5 best model for
Pose Tracking
on PoseTrack2017
(using extra training data)
HUMAN DETECTION MULTI-OBJECT TRACKING POSE ESTIMATION POSE TRACKING VIDEO UNDERSTANDING
MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network
ECCV 2018
• salihkaragoz/pose-residual-network-pytorch
•
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.
#4 best model for
Multi-Person Pose Estimation
on COCO
HUMAN DETECTION KEYPOINT DETECTION MULTI-PERSON POSE ESTIMATION
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
ICCV 2015
• aosokin/cnn_head_detection
• 
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.
Generative Partition Networks for Multi-Person Pose Estimation
This paper proposes a new Generative Partition Network (GPN) to address the challenging multi-person pose estimation problem.
SOTA for Multi-Person Pose Estimation on WAF (AP metric )
Query-guided End-to-End Person Search
We extend this with i. a query-guided Siamese squeeze-and-excitation network (QSSE-Net) that uses global context from both the query and gallery images, ii.
Towards High Performance Human Keypoint Detection
Human keypoint detection from a single image is very challenging due to occlusion, blur, illumination and scale variance.
Fooling automated surveillance cameras: adversarial patches to attack person detection
• Zhang-Jack/adversarial_yolo2
•
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.
Human Keypoint Detection by Progressive Context Refinement
Human keypoint detection from a single image is very challenging due to occlusion, blur, illumination and scale variance of person instances.