DOTA-DOAI

Abstract

This repo is the codebase for our team to participate in DOTA related competitions, including rotation and horizontal detection. We mainly use FPN-based two-stage detector, and it is completed by YangXue and YangJirui.

We also recommend a tensorflow-based rotation detection benchmark, which is led by YangXue.

Performance

DOTA1.0 (Task1)

Model	Backbone	Training data	Val data	mAP	Model Link	Tricks	lr schd	Data Augmentation	GPU	Image/GPU	Configs
FPN	ResNet152_v1d (600,800,1024)->MS	DOTA1.0 trainval	DOTA1.0 test	78.99	model	ALL	2x	Yes	2X GeForce RTX 2080 Ti	1	cfgs_dota1.0_res152_v1.py

DOTA1.0 (Task2)

Model	Backbone	Training data	Val data	mAP	Model Link	Tricks	lr schd	Data Augmentation	GPU	Image/GPU	Configs
FPN (memory consumption)	ResNet152_v1d (600,800,1024)->MS	DOTA1.0 trainval	DOTA1.0 test	81.23	model	ALL	2x	Yes	2X Quadro RTX 8000	1	cfgs_dota1.0_res152_v1.py

Visualization

Performance of published papers on DOTA datasets

DOTA1.0 (Task1)

Model	Backbone	mAP	Paper Link	Code Link	Remark	Recommend
FR-O (DOTA)	ResNet101	52.93	CVPR2018	MXNet	DOTA dataset, baseline	✅
IENet	ResNet101	57.14	arXiv:1912.00969	-	anchor free
TOSO	ResNet101	57.52	ICASSP2020	-	geometric transformation
PIoU Loss	DLA-34	60.5	ECCV2020	Pytorch	IoU loss, anchor free	✅
R2CNN	ResNet101	60.67	arXiv:1706.09579	TF	scene text, multi-task, different pooled sizes, baseline	✅
RRPN	ResNet101	61.01	TMM arXiv:1703.01086	TF	scene text, rotation proposals, baseline	✅
Axis Learning	ResNet101	65.98	Remote Sensing	-	single stage, anchor free	✅
MARNet	ResNet101	67.19	IJRS	-	based on scrdet
ICN	ResNet101	68.16	ACCV2018	-	image cascade, multi-scale	✅
GSDet	ResNet101	68.28	TIP	-	scale reasoning
RADet	ResNeXt101	69.09	Remote Sensing	-	enhanced FPN, mask rcnn
KARNET	ResNet50	68.87	CISNRC 2020	-	attention denoising, anchor refining
RoI Transformer	ResNet101	69.56	CVPR2019	MXNet, Pytorch	roi transformer	✅
CAD-Net	ResNet101	69.90	TGRS arXiv:1903.00857	-	attention
ProbIoU	ResNet50	70.04	arXiv:2106.06072	TF	gaussian bounding boxes, hellinger distance	✅
A2S-Det	ResNet101	70.64	Remote Sensing	-	label assign
AOOD	ResNet101	71.18	Neural Computing and Applications	-	attention + R-DFPN
Cascade-FF	ResNet152	71.80	ICME2020	-	refined retinanet + feature fusion
SCPNet	Hourglass104	72,20	GRSL	-	corner points
P-RSDet	ResNet101	72.30	Access	-	anchor free, polar coordinates	✅
BBAVectors	ResNet101	72.32	WACV2021	Pytorch	keypoint based	✅
ROPDet	ResNet101-DCN	72.42	J REAL-TIME IMAGE PR	-	point set representation
SCRDet	ResNet101	72.61	ICCV2019	TF: R2CNN++, IoU-Smooth L1: RetinaNet-based, R3Det-based	attention, angular boundary problem	✅
O2-DNet	Hourglass104	72.8	ISPRS, arXiv:1912.10694	-	centernet, anchor free	✅
HRPNet	HRNet-W48	72.83	GRSL	-	polar
SARD	ResNet101	72.95	Access	-	IoU-based weighted loss
GLS-Net	ResNet101	72.96	Remote Sensing	-	attention, saliency pyramid
ProjBB	ResNet101	73.03	Access	code, codebase	new definition of bounding box
DRN	Hourglass104	73.23	CVPR(oral)	code	centernet, feature selection module, dynamic refinement head, new dataset (SKU110K-R)	✅
FADet	ResNet101	73.28	ICIP2019	-	attention
MFIAR-Net	ResNet152	73.49	Sensors	-	feature attention, enhanced FPN
CFC-NET	ResNet101	73.50	arXiv:2101.06849	Pytorch	critical feature, label assign, refine	✅
R3Det	ResNet152	73.74	AAAI2021	TF, Pytorch	refined single stage, feature alignment	✅
RSDet	ResNet152	74.10	AAAI2021	TF	quadrilateral bbox, angular boundary problem	✅
SegmRDet	ResNet50	74.14	Neurocomputing	-	segmentation-baed, new training and inference mechanism
Gliding Vertex	ResNet101	75.02	TPAMI arXiv:1911.09358	Pytorch	quadrilateral bbox	✅
EFN	U-Net	75.27	Preprints	-	Field-based	✅
SAR	ResNet152	75.26	Access	-	boundary problem	✅
TricubeNet	Hourglass104	75.26	arXiv:2104.11435	code	2D tricube kernel	✅
Mask OBB	ResNeXt-101	75.33	Remote Sensing	-	attention, multi-task	✅
-	DarkNet	75.5	TGRS	-	angle classification
FFA	ResNet101	75.7	ISPRS	-	enhanced FPN, rotation proposals
CBDA-Net	DLA-34-DCN	75.74	TGRS	-	dual attention
APE	ResNeXt-101(32x4)	75.75	TGRS arXiv:1906.09447	-	adaptive period embedding, length independent IoU (LIIoU)	✅
R4Det	ResNet152	75.54	Image Vis Comput	-	feature recursion and refinement
F3-Net	ResNet152	76.02	Remote Sensing	-	feature fusion and filtration
CenterMap OBB	ResNet101	76.03	TGRS	-	center-probability-map
CSL	ResNet152	76.17	ECCV2020	TF: CSL_RetinaNet, Pytorch: YOLOv5_DOTA_OBB (CSL)	angular boundary problem	✅
MRDet	ResNet101	76.24	arXiv:2012.13135	-	arbitrary-oriented rpn, multiple subtasks
AFC-Net	ResNet101	76.27	Neurocomputing	-	adaptive feature concatenate
OWSR	Ensemble (ResNet101 + ResNeXt101 + mdcn-ResNet101)	76.36	CVPR2019 WorkShop TGRS	-	enhanced FPN
SLA	ResNet50	76.36	Remote Sensing	Pytorch	sparse label assignment	✅
OPLD	ResNet101	76.43	J-STARS	Pytorch	boundary problem, point-guided	✅
R3Det++	ResNet152	76.56	arXiv:2004.13316	TF	refined single stage, feature alignment, denoising	✅
PolarDet	ResNet101	76.64	IJRS arXiv:2010.08720	-	polar, center-semantic	✅
Beyond Bounding-Box	ResNet152	76.67	CVPR2021	Pytorch	point-based, reppoints	✅
SCRDet++	ResNet101	76.81	arXiv:2004.13316	TF	angular boundary problem, denoising	✅
DAL+S2A-Net	ResNet50	76.95	AAAI2021	Pytorch	label assign	✅
DCL	ResNet152	77.37	CVPR2021	TF	boundary problem	✅
MSFF	ResNet50	77.46	JSTARS	-	rotation invariance features
RIDet	ResNet50	77.62	arXiv:2103.11636	Pytorch, TF	quad., representation ambiguity	✅
RDD	ResNet101	77.75	Remote Sensing	Pytorch	rotation-decoupled
OSKDet	ResNet101	77.81	arXiv:2104.08697	-	keypoint localization (very similar to FR-Est)
CG-Net	ResNet101	77.89	arXiv:2103.11399	Pytorch	attention
Oriented RepPoints	ResNet101	78.12	arXiv:2105.11111	Pytorch	point-based, reppoints	✅
FR-Est	ResNet101-DCN	78.49	TGRS	-	point-based estimator	✅
S2A-Net	ResNet50/ResNet101	79.42/79.15	TGRS	Pytorch	refined single stage, feature alignment	✅
O2DETR	ResNet50	79.66	arXiv:2106.03146	-	deformable detr, transformer	✅
ROSD	ResNet101	79.76	Access	-	refined single stage, feature alignment
SARA	ResNet50/ResNet101	79.91/79.13	Remote Sensing	-	self-adaptive aspect ratio anchor, refine
ADT-Det	ResNet152	79.95	Remote Sensing	-	feature pyramid transformer, feature refineent
ReDet	ReR50-ReFPN	80.10	CVPR2021	Pytorch	rotation-equivariant, rotation-invariant roI align	✅
GWD	ResNet152	80.23	ICML2021	TF, Pytorch code (YOLOv5-GWD)	boundary discontinuity, square-like problem, gaussian wasserstein distance loss	✅
KLD	ResNet152	80.63	arXiv:2106.01883	TF	Kullback-Leibler divergence, high-precision, scale invariance	✅

DOTA1.0 (Task2)

Model	Backbone	mAP	Paper Link	Code Link	Remark	Recommend
FR-H (DOTA)	ResNet101	60.46	CVPR2018	MXNet	DOTA dataset, baseline	✅
Deep Active Learning	ResNet18	64.26	arXiv:2003.08793	-	CenterNet, Deep Active Learning	✅
SBL	ResNet50	64.77	arXiv:1810.08103	-	single stage
CenterFPANet	ResNet18	65.29	HPCCT & BDAI 2020 arXiv:2009.03063	-	light-weight
MARNet	ResNet101	71.73	IJRS	-	based on scrdet
FMSSD	VGG16	72.43	TGRS	-	IoU-based weighted loss, enhanced FPN
ICN	ResNet101	72.45	ACCV2018	-	image cascade, multi-scale	✅
IoU-Adaptive R-CNN	ResNet101	72.72	Remote Sensing	-	IoU-based weighted loss, cascade
EFR	VGG16	73.49	Remote Sensing	Pytorch	enhanced FPN
AF-EMS	ResNet101	73.97	Remote Sensing	-	scale-aware feature, anchor free
SCRDet	ResNet101	75.35	ICCV2019	TF	attention, angular boundary problem	✅
FADet	ResNet101	75.38	ICIP2019	-	attention
MFIAR-Net	ResNet152	76.07	Sensors	-	feature attention, enhanced FPN
F3-Net	ResNet152	76.48	Remote Sensing	-	feature fusion and filtration
Mask OBB	ResNeXt-101	76.98	Remote Sensing	-	attention, multi-task	✅
CenterMap OBB	ResNet101	77.33	TGRS	-	center-probability-map
ASSD	VGG16	77.8	TGRS	-	feature aligned
AFC-Net	ResNet101	78.06	Neurocomputing	-	adaptive feature concatenate
CG-Net	ResNet101	78.26	arXiv:2103.11399	Pytorch	attention
OPLD	ResNet101	78.35	J-STARS	Pytorch	boundary problem, point-guided	✅
A2RMNet	ResNet101	78.45	Remote Sensing	-	attention, enhanced FPN, different pooled sizes
OWSR	Ensemble (ResNet101 + ResNeXt101 + mdcn-ResNet101)	78.79	CVPR2019 WorkShop TGRS	-	enhanced FPN
Parallel Cascade R-CNN	ResNeXt-101	78.96	Journal of Physics: Conference Series	-	cascade rcnn
DM-FPN	ResNet-Based	79.27	Remote Sensing	-	enhanced FPN
SCRDet++	ResNet101	79.35	arXiv:2004.13316	TF	denoising	✅

DOTA1.5 (Task1)

Model	Backbone	mAP	Paper Link	Code Link	Remark	Recommend
APE	ResNeXt-101(32x4)	78.34	TGRS arXiv:1906.09447	-	length independent IoU (LIIoU)	✅
OWSR	Ensemble (ResNet101 + ResNeXt101 + mdcn-ResNet101)	76.60	TGRS CVPR2019 WorkShop	-	enhanced FPN
ReDet	ReR50-ReFPN	76.80	CVPR2021	Pytorch	rotation-equivariant, rotation-invariant RoI Align,	✅

DOTA1.5 (Task2)

Model	Backbone	mAP	Paper Link	Code Link	Remark	Recommend
CDD-Net	ResNet101	61.3	GRSL	-	attention
ReDet	ReR50-ReFPN	78.08	CVPR2021	Pytorch	rotation-equivariant, rotation-invariant RoI Align,	✅
OWSR	Ensemble (ResNet101 + ResNeXt101 + mdcn-ResNet101)	79.50	TGRS CVPR2019 WorkShop	-	enhanced FPN

Related Articles

Model	Paper Link	Code Link	Remark	Recommend
SSSDET	ICIP2019 arXiv:1909.00292	-	vehicle detection, lightweight
AVDNet	GRSL arXiv:1907.07477	-	vehicle detection, small object
ClusDet	ICCV2019	Caffe2	object cluster regions	✅
DMNet	CVPR2020 WorkShop	-	object cluster regions	✅
AdaZoom	arXiv:2106.10409	-	object cluster regions, reinforcement learning	✅
OIS	arXiv:1911.07732	related Pytorch code	Oriented Instance Segmentation	✅
ISOP	IGARSS2020	-	Oriented Instance Segmentation
LR-RCNN	arXiv:2005.14264	-	vehicle detection	-
GRS-Det	TGRS	-	ship detection, rotation fcos	-
DRBox	arXiv:1711.09405	Caffe	sar object detection	✅
DRBox-v2	TGRS	TF	sar object detection	-
RAPiD	arXiv:2005.11623	Pytorch	overhead fisheye images	-
OcSaFPN	arXiv:2012.09859	-	denoising	-
CR2A-Net	TGRS	-	ship detection	-
-	TGRS	-	knowledge distillation	✅
CHPDet	arXiv:2101.11189	-	new ship dataset	✅

Other Rotation Detection Codes

Base Method	Code Link
RetinaNet	RetinaNet_Tensorflow_Rotation
YOLOv3	rotate-yolov3-Pytorch, YOLOv3-quadrangle-Pytorch, yolov3-polygon-Pytorch
YOLOv5	rotation-yolov5-Pytorch, YOLOv5_DOTA_OBB (CSL)
CenterNet	R-CenterNet-Pytorch

Dataset

Some remote sensing related object detection dataset statistics are in DATASET.md