← Object Detection
Papers with Code · CC BY-SA 4.0
CrowdHuman (full body)
아카이브 평가 19건 · 마지막 적재/변경
평가 기록
과거 수집 기록이며 최신 순위가 아닙니다. 데이터셋 버전·split·실험 조건과 지표 방향이 검증되지 않은 결과는 직접 비교할 수 없습니다. 날짜는 논문 날짜이며 최신 평가일을 뜻하지 않습니다.
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원본 기록 순서 · 순위 미부여
| 모델 | 원본 지표·값 | 논문 | 구현 |
| InternImage-H |
- AP
- 97.2
|
InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions 2022-11-10 |
코드 1 · 코드 2 · 코드 3 |
| MMPedestron |
- AP
- 97.1
- mMR
- 30.8
|
When Pedestrian Detection Meets Multi-Modal Learning: Generalist Model and Benchmark Dataset 2024-07-14 |
코드 1 |
| Progressive DETR |
- AP
- 94.1
- mMR
- 37.7
|
Progressive End-to-End Object Detection in Crowded Scenes 2022-03-15 |
코드 1 · 코드 2 |
| DDQ DETR (R50) |
- AP
- 93.8
- mMR
- 39.7
- Recall
- 98.7
|
Dense Distinct Query for End-to-End Object Detection 2023-03-22 |
코드 1 · 코드 2 |
| DDQ R-CNN (R50) |
- AP
- 93.5
- mMR
- 40.4
- Recall
- 98.6
|
Dense Distinct Query for End-to-End Object Detection 2023-03-22 |
코드 1 · 코드 2 |
| Hulk(Finetune, ViT-L) |
- AP
- 93
- mMR
- 36.5
|
Hulk: A Universal Knowledge Translator for Human-Centric Tasks 2023-12-04 |
코드 1 · 코드 2 |
| DDQ FCN (R50 One-Stage) |
- AP
- 92.7
- mMR
- 41.0
- Recall
- 98.2
|
Dense Distinct Query for End-to-End Object Detection 2023-03-22 |
코드 1 · 코드 2 |
| UniHCP (finetune) |
- AP
- 92.5
- mMR
- 41.6
|
UniHCP: A Unified Model for Human-Centric Perceptions 2023-03-06 |
코드 1 |
| Hulk(Finetune, ViT-B) |
- AP
- 92.4
- mMR
- 40.7
|
Hulk: A Universal Knowledge Translator for Human-Centric Tasks 2023-12-04 |
코드 1 · 코드 2 |
| V2F-Net |
- AP
- 91.03
- mMR
- 42.28
- Recall
- 84.2
|
V2F-Net: Explicit Decomposition of Occluded Pedestrian Detection 2021-04-07 |
연결 없음 |
| CrowdDet |
- AP
- 90.7
- mMR
- 41.4
|
Detection in Crowded Scenes: One Proposal, Multiple Predictions 2020-03-20 |
코드 1 · 코드 2 · 코드 3 |
| Beta R-CNN |
- AP
- 89.6
- mMR
- 40.3
|
Beta R-CNN: Looking into Pedestrian Detection from Another Perspective 2022-10-23 |
연결 없음 |
| NOH-NMS |
- AP
- 89.0
- mMR
- 43.9
|
NOH-NMS: Improving Pedestrian Detection by Nearby Objects Hallucination 2020-07-27 |
코드 1 |
| IterDet (Faster RCNN, ResNet50, 2 iterations) |
- AP
- 88.08
- mMR
- 49.44
|
IterDet: Iterative Scheme for Object Detection in Crowded Environments 2020-05-12 |
연결 없음 |
| PS-RCNN (Faster RCNN, ResNet50, COCO Instance Masks |
- AP
- 87.94
|
PS-RCNN: Detecting Secondary Human Instances in a Crowd via Primary Object Suppression 2020-03-16 |
연결 없음 |
| PS-RCNN (Faster RCNN, ResNet50) |
- AP
- 86.05
|
PS-RCNN: Detecting Secondary Human Instances in a Crowd via Primary Object Suppression 2020-03-16 |
연결 없음 |
| Faster RCNN (ResNet50) |
- AP
- 84.95
- mMR
- 50.49
|
CrowdHuman: A Benchmark for Detecting Human in a Crowd 2018-04-30 |
코드 1 |
| Adaptive NMS (Faster RCNN, ResNet50) |
- AP
- 84.71
- mMR
- 49.73
|
Adaptive NMS: Refining Pedestrian Detection in a Crowd 2019-04-07 |
연결 없음 |
| IterDet (Faster RCNN, ResNet50, 1 iteration) |
- AP
- 84.43
- mMR
- 49.12
|
IterDet: Iterative Scheme for Object Detection in Crowded Environments 2020-05-12 |
연결 없음 |