الرئيسية الأخبار أحدث الأوراق البحثية الدروس مجموعات البيانات الموسوعة SOTA نماذج LLM لوحة الأداء GPU الفعاليات

العربية

2D Object Detection On Sardet 100K

المقاييس

box mAP

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

اسم النموذج	box mAP	Paper Title	Repository
MSFA (F-RCNN+R50)	51.1	SARDet-100K: Towards Open-Source Benchmark and ToolKit for Large-Scale SAR Object Detection	-
Cascade R-CNN	51.1	Cascade R-CNN: Delving into High Quality Object Detection	-
FCOS	49.8	FCOS: Fully Convolutional One-Stage Object Detection	-
MSFA (F-RCNN+ConvNext-T)	54.8	SARDet-100K: Towards Open-Source Benchmark and ToolKit for Large-Scale SAR Object Detection	-
DenoDet	55.4	DenoDet: Attention as Deformable Multi-Subspace Feature Denoising for Target Detection in SAR Images	-
Grid RCNN	48.8	Grid R-CNN	-
Sparse R-CNN	38.1	Sparse R-CNN: End-to-End Object Detection with Learnable Proposals	-
SARATR-X	-	SARATR-X: Toward Building A Foundation Model for SAR Target Recognition	-
Deformable DETR	50.0	Deformable DETR: Deformable Transformers for End-to-End Object Detection	-
MSFA (GFL+R50)	53.7	SARDet-100K: Towards Open-Source Benchmark and ToolKit for Large-Scale SAR Object Detection	-
RetinaNet	47.4	Focal Loss for Dense Object Detection	-
F-RCNN	49.0	Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks	-
MSFA (Deformable DETR)	51.3	SARDet-100K: Towards Open-Source Benchmark and ToolKit for Large-Scale SAR Object Detection	-

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2D Object Detection On Sardet 100K | SOTA | HyperAI