Papers with Code · CC BY-SA 4.0

DOTA

아카이브 평가 58건 · 마지막 적재/변경 2026-10-30

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
RSP-ViTAEv2-S-FPN-ORCN	mAP 77.72%	An Empirical Study of Remote Sensing Pretraining 2022-04-06	코드 1 · 코드 2
Oriented RepPoints	mAP 77.63%	Oriented RepPoints for Aerial Object Detection 2021-05-24	코드 1 · 코드 2
RIDet	mAP 77.62%	Optimization for Arbitrary-Oriented Object Detection via Representation Invariance Loss 2021-03-22	코드 1
IMP-ViTAEv2-S-FPN-ORCN	mAP 77.38%	An Empirical Study of Remote Sensing Pretraining 2022-04-06	코드 1 · 코드 2
DCL	mAP 77.37%	Dense Label Encoding for Boundary Discontinuity Free Rotation Detection 2020-11-19	코드 1 · 코드 2 · 코드 3
EAutoDet	mAP 77.05%	EAutoDet: Efficient Architecture Search for Object Detection 2022-03-21	연결 없음
DLA+S2A-Net	mAP 76.95%	Dynamic Anchor Learning for Arbitrary-Oriented Object Detection 2020-12-08	코드 1 · 코드 2
GGHL	mAP 76.95%	A General Gaussian Heatmap Label Assignment for Arbitrary-Oriented Object Detection 2021-09-27	코드 1
SCRDet++	mAP 76.81%	SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing 2020-04-28	코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5
CFA	mAP 76.67%	Beyond Bounding-Box: Convex-Hull Feature Adaptation for Oriented and Densely Packed Object Detection 2021-06-19	코드 1 · 코드 2
PolarDet	mAP 76.64%	PolarDet: A Fast, More Precise Detector for Rotated Target in Aerial Images 2020-10-17	연결 없음
RSP-ResNet-50-FPN-ORCN	mAP 76.50%	An Empirical Study of Remote Sensing Pretraining 2022-04-06	코드 1 · 코드 2
CSL	mAP 76.17%	On the Arbitrary-Oriented Object Detection: Classification based Approaches Revisited 2020-03-12	코드 1 · 코드 2 · 코드 3 · 코드 4
RSP-Swin-T-FPN-ORCN	mAP 76.12%	An Empirical Study of Remote Sensing Pretraining 2022-04-06	코드 1 · 코드 2
APE	mAP 75.75	Adaptive Period Embedding for Representing Oriented Objects in Aerial Images 2019-06-22	연결 없음
BBAVectors	mAP 75.36%	Oriented Object Detection in Aerial Images with Box Boundary-Aware Vectors 2020-08-17	코드 1
TricubeNet	mAP 75.26%	TricubeNet: 2D Kernel-Based Object Representation for Weakly-Occluded Oriented Object Detection 2021-04-23	코드 1
Gliding Vertex	mAP 75.02%	Gliding vertex on the horizontal bounding box for multi-oriented object detection 2019-11-21	코드 1
RSDet	mAP 74.10%	Learning Modulated Loss for Rotated Object Detection 2019-11-19	코드 1 · 코드 2
CFC-NET	mAP 73.50%	CFC-Net: A Critical Feature Capturing Network for Arbitrary-Oriented Object Detection in Remote Sensing Images 2021-01-18	코드 1
DRN	mAP 73.23%	Dynamic Refinement Network for Oriented and Densely Packed Object Detection 2020-05-20	코드 1
O2-DNet	mAP 72.8%	Oriented Objects as pairs of Middle Lines 2019-12-23	연결 없음
SCRDet	mAP 72.61%	SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated Objects 2018-11-17	코드 1 · 코드 2 · 코드 3
RoI Transformer	mAP 69.56%	Learning RoI Transformer for Detecting Oriented Objects in Aerial Images 2018-12-01	코드 1
ICN	mAP 68.16%	Towards Multi-class Object Detection in Unconstrained Remote Sensing Imagery 2018-07-07	연결 없음
Axis Learning	mAP 65.98%	Axis Learning for Orientated Objects Detection in Aerial Images 2020-03-20	연결 없음
PIoU	mAP 60.5%	PIoU Loss: Towards Accurate Oriented Object Detection in Complex Environments 2020-07-19	코드 1
FR-O (DOTA)	mAP 52.93%	DOTA: A Large-scale Dataset for Object Detection in Aerial Images 2017-11-28	코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6