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Object Detection
벤치마크
Object Detection on
MSCOCO
40개 결과 ·
⬇ CSV
·
JSON
Average mAP
39.7
39.95
40.2
40.45
40.7
2023-11
2026-09
DAS — 39.7 (2023-11-20)
DAS — 39.7 (2023-11-20)
DAS — 39.7 (2023-11-20)
DAS — 39.7 (2023-11-20)
DAS — 39.7 (2023-11-20)
DAS — 39.7 (2023-11-20)
2023-11-20 — DAS: Average mAP 39.7
Rank
Model
Average mAP
Extra Training Data
Paper
Code
Year
1
DAS
39.7
DAS: A Deformable Attention to Capture Salient Information in CNNs
2023
2
PP-PicoDet-L
–
PP-PicoDet: A Better Real-Time Object Detector on Mobile Devices
PaddlePaddle/PaddleDetection
·
CycloneBoy/PPDetectionPytorch
·
umitkacar/ai-edge-computing
·
+1
2021
3
YOLOv5s
–
4
PP-PicoDet-M
–
5
YOLOX-tiny
–
6
YOLOX-Nano
–
7
NanoDet-M
–
8
ScaleDet
–
✓
ScaleDet: A Scalable Multi-Dataset Object Detector
2023
9
DAS
39.7
DAS: A Deformable Attention to Capture Salient Information in CNNs
2023
10
PP-PicoDet-L
–
PP-PicoDet: A Better Real-Time Object Detector on Mobile Devices
PaddlePaddle/PaddleDetection
·
CycloneBoy/PPDetectionPytorch
·
umitkacar/ai-edge-computing
·
+1
2021
11
YOLOv5s
–
12
PP-PicoDet-M
–
13
YOLOX-tiny
–
14
YOLOX-Nano
–
15
NanoDet-M
–
16
ScaleDet
–
✓
ScaleDet: A Scalable Multi-Dataset Object Detector
2023
17
DAS
39.7
DAS: A Deformable Attention to Capture Salient Information in CNNs
2023
18
PP-PicoDet-L
–
PP-PicoDet: A Better Real-Time Object Detector on Mobile Devices
PaddlePaddle/PaddleDetection
·
CycloneBoy/PPDetectionPytorch
·
umitkacar/ai-edge-computing
·
+1
2021
19
YOLOv5s
–
20
PP-PicoDet-M
–
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