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Models/DETR

DETR

Reported on 21 benchmarks across 6 tasks · 2 papers · 3 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology12 results

3DonManga109-s 15test
COCO-style AP· uses extra data· 2021-03-25
31.2
best: 70.2 (YOLOX-L)
USB: Universal-Scale Object Detection Benchmark arXiv:2103.14027
3DonUSB (Standard USB 1.0 protocol)
mCAP· 2021-03-25
23.7
best: 52.1 (UniverseNet-20.08)
USB: Universal-Scale Object Detection Benchmark arXiv:2103.14027
3DonWaymo 2D detection all_ns f0val
COCO-style AP· uses extra data· 2021-03-25
17.8
best: 41.6 (YOLOX-L)
USB: Universal-Scale Object Detection Benchmark arXiv:2103.14027
2D ClassificationonManga109-s 15test
COCO-style AP· uses extra data· 2021-03-25
31.2
best: 70.2 (YOLOX-L)
USB: Universal-Scale Object Detection Benchmark arXiv:2103.14027
2D ClassificationonUSB (Standard USB 1.0 protocol)
mCAP· 2021-03-25
23.7
best: 52.1 (UniverseNet-20.08)
USB: Universal-Scale Object Detection Benchmark arXiv:2103.14027
2D ClassificationonWaymo 2D detection all_ns f0val
COCO-style AP· uses extra data· 2021-03-25
17.8
best: 41.6 (YOLOX-L)
USB: Universal-Scale Object Detection Benchmark arXiv:2103.14027
2D Object DetectiononManga109-s 15test
COCO-style AP· uses extra data· 2021-03-25
31.2
best: 70.2 (YOLOX-L)
USB: Universal-Scale Object Detection Benchmark arXiv:2103.14027
2D Object DetectiononUSB (Standard USB 1.0 protocol)
mCAP· 2021-03-25
23.7
best: 52.1 (UniverseNet-20.08)
USB: Universal-Scale Object Detection Benchmark arXiv:2103.14027
2D Object DetectiononWaymo 2D detection all_ns f0val
COCO-style AP· uses extra data· 2021-03-25
17.8
best: 41.6 (YOLOX-L)
USB: Universal-Scale Object Detection Benchmark arXiv:2103.14027
16konManga109-s 15test
COCO-style AP· uses extra data· 2021-03-25
31.2
best: 70.2 (YOLOX-L)
USB: Universal-Scale Object Detection Benchmark arXiv:2103.14027
16konUSB (Standard USB 1.0 protocol)
mCAP· 2021-03-25
23.7
best: 52.1 (UniverseNet-20.08)
USB: Universal-Scale Object Detection Benchmark arXiv:2103.14027
16konWaymo 2D detection all_ns f0val
COCO-style AP· uses extra data· 2021-03-25
17.8
best: 41.6 (YOLOX-L)
USB: Universal-Scale Object Detection Benchmark arXiv:2103.14027

Computer Vision9 results

Document Layout AnalysisonPubLayNet val
Figure· 2023-06-23
0.975
SOTA
Bridging the Performance Gap between DETR and R-CNN for Graphical Object Detection in Document Images arXiv:2306.13526
Document Layout AnalysisonPubLayNet val
List· 2023-06-23
0.964
best: 0.975 (TRDLU)
SOTA
Bridging the Performance Gap between DETR and R-CNN for Graphical Object Detection in Document Images arXiv:2306.13526
Document Layout AnalysisonPubLayNet val
Table· 2023-06-23
0.981
SOTA
Bridging the Performance Gap between DETR and R-CNN for Graphical Object Detection in Document Images arXiv:2306.13526
Document Layout AnalysisonPubLayNet val
Overall· 2023-06-23
0.957
best: 0.962 (VGT)
Bridging the Performance Gap between DETR and R-CNN for Graphical Object Detection in Document Images arXiv:2306.13526
Document Layout AnalysisonPubLayNet val
Text· 2023-06-23
0.947
best: 0.967 (VSR)
Bridging the Performance Gap between DETR and R-CNN for Graphical Object Detection in Document Images arXiv:2306.13526
Document Layout AnalysisonPubLayNet val
Title· 2023-06-23
0.918
best: 0.939 (VGT)
Bridging the Performance Gap between DETR and R-CNN for Graphical Object Detection in Document Images arXiv:2306.13526
Object DetectiononManga109-s 15test
COCO-style AP· uses extra data· 2021-03-25
31.2
best: 70.2 (YOLOX-L)
USB: Universal-Scale Object Detection Benchmark arXiv:2103.14027
Object DetectiononUSB (Standard USB 1.0 protocol)
mCAP· 2021-03-25
23.7
best: 52.1 (UniverseNet-20.08)
USB: Universal-Scale Object Detection Benchmark arXiv:2103.14027
Object DetectiononWaymo 2D detection all_ns f0val
COCO-style AP· uses extra data· 2021-03-25
17.8
best: 41.6 (YOLOX-L)
USB: Universal-Scale Object Detection Benchmark arXiv:2103.14027