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Object Detection On Crowdhuman Full Body

Métriques

AP

mMR

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	AP	mMR	Paper Title	Repository
MMPedestron	97.1	30.8	When Pedestrian Detection Meets Multi-Modal Learning: Generalist Model and Benchmark Dataset
NOH-NMS	89.0	43.9	NOH-NMS: Improving Pedestrian Detection by Nearby Objects Hallucination
Adaptive NMS (Faster RCNN, ResNet50)	84.71	49.73	Adaptive NMS: Refining Pedestrian Detection in a Crowd	-
UniHCP (finetune)	92.5	41.6	UniHCP: A Unified Model for Human-Centric Perceptions
Hulk(Finetune, ViT-L)	93	36.5	Hulk: A Universal Knowledge Translator for Human-Centric Tasks
DDQ R-CNN (R50)	93.5	40.4	Dense Distinct Query for End-to-End Object Detection
Hulk(Finetune, ViT-B)	92.4	40.7	Hulk: A Universal Knowledge Translator for Human-Centric Tasks
IterDet (Faster RCNN, ResNet50, 1 iteration)	84.43	49.12	IterDet: Iterative Scheme for Object Detection in Crowded Environments
DDQ FCN (R50 One-Stage)	92.7	41.0	Dense Distinct Query for End-to-End Object Detection
Progressive DETR	94.1	37.7	Progressive End-to-End Object Detection in Crowded Scenes
Beta R-CNN	89.6	40.3	Beta R-CNN: Looking into Pedestrian Detection from Another Perspective	-
InternImage-H	97.2	-	InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions
PS-RCNN (Faster RCNN, ResNet50, COCO Instance Masks	87.94	-	PS-RCNN: Detecting Secondary Human Instances in a Crowd via Primary Object Suppression	-
PS-RCNN (Faster RCNN, ResNet50)	86.05	-	PS-RCNN: Detecting Secondary Human Instances in a Crowd via Primary Object Suppression	-
CrowdDet	90.7	41.4	Detection in Crowded Scenes: One Proposal, Multiple Predictions
Faster RCNN (ResNet50)	84.95	50.49	CrowdHuman: A Benchmark for Detecting Human in a Crowd
DDQ DETR (R50)	93.8	39.7	Dense Distinct Query for End-to-End Object Detection
IterDet (Faster RCNN, ResNet50, 2 iterations)	88.08	49.44	IterDet: Iterative Scheme for Object Detection in Crowded Environments
V2F-Net	91.03	42.28	V2F-Net: Explicit Decomposition of Occluded Pedestrian Detection	-

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