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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

1

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
Li et al. ResNet50 66.01 IGARSS2021 - refine, feature alignment
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
CGP Box ResNet18 71.35 IJRS - center-guide points
Pei et al. ResNet101 71.76 IGRASS2021 - enhanced FPN
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
Zhang et al. ResNet101 72.37 GSIS - refine-stage
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
RBA-CenterNet ResNet101 73.41 IJCNN - centernet, refine feature
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 ResNet101 73.79 AAAI2021 TF, Pytorch refined single stage, feature alignment
SDCDet ResNet101 73.89 PRAI2021 - instance segmentation direction correction
RSDet/RSDet++ ResNet152 74.10 AAAI2021/arXiv:2109.11906 TF quadrilateral bbox, angular boundary problem
SegmRDet ResNet50 74.14 Neurocomputing - segmentation-baed, new training and inference
CenterRot ResNet152 74.75 Remote Sensing - anchor free, deformable-fpn, csl
MEAD ResNet101 74.80 Applied Intelligence - mechanism anchor free, mask guided, refine feature
Gliding Vertex ResNet101 75.02 TPAMI arXiv:1911.09358 Pytorch quadrilateral bbox
OSSDet ResNeXt-10 75.08 JSTARS - feature enhancement and alignment
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 ResNeXt101 75.33 Remote Sensing - attention, multi-task
SAOA ResNet101 75.41 ICIG2021 - anchor free, spatial self-attention
Zand et al. DarkNet53 75.5 TGRS - angle classification
TS4Net ResNet101 75.63 arXiv:2108.03116 - label assign
FFA ResNet101 75.7 ISPRS - enhanced FPN, rotation proposals
CBDA-Net DLA-34-DCN 75.74 TGRS - dual attention
APE ResNeXt101(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
RIE HRGANet-W48 75.94 Remote Sensing - center-based rotated inscribed ellipse
F3-Net ResNet152 76.02 Remote Sensing - feature fusion and filtration
CenterMap OBB ResNet101 76.03 TGRS - center-probability-map
DA-Net ResNet101 76.11 GRSL - feature alignment
CSL ResNet152 76.17 ECCV2020 TF: CSL_RetinaNet, Pytorch: YOLOv5_DOTA_OBB (CSL) angular boundary problem
MRDet ResNet101 76.24 TGRS - arbitrary-oriented rpn, multiple subtasks
AFC-Net ResNet101 76.27 Neurocomputing - adaptive feature concatenate
OWSR Ensemble (ResNet101 + ResNeXt101 + mdcn-ResNet101) 76.36 CVPR2019 WorkShop - enhanced FPN
SLA ResNet50 76.36 Remote Sensing Pytorch sparse label assignment
OPLD ResNet101 76.43 J-STARS Pytorch boundary problem, point-guided
Polar Ray ResNet101 76.50 ACM MM2021 - polar rays representation
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
DAFNe ResNet101 76.95 arXiv:2109.06148 Pytorch single stage, anchor free, center-to-corner regression
DAL+S2A-Net ResNet50 76.95 AAAI2021 Pytorch label assign
GGHL DarkNet53 76.95 arXiv:2109.12848 Pytorch gaussian heatmap labeling
DCL ResNet152 77.37 CVPR2021 TF boundary problem
MSFF ResNet50 77.46 JSTARS - rotation invariance features
RIDet ResNet50 77.62 GRSL 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
HSP ResNet101 78.01 TGRS hierarchical semantic propagatio
Oriented RepPoints ResNet101 78.12 arXiv:2105.11111 Pytorch point-based, reppoints
FoRDet VGG16 78.13 TGRS - refinenet
AProNet ResNet101 78.16 ISPRS Pyrotch axis projection-based angle learning, feature enhancement
FR-Est ResNet101-DCN 78.49 TGRS - point-based estimator
DARDet ResNet50 78.74 GRSL Pytorch varifocalnet, dcn, piou
FCOSR ResNeXt-101 78.90 arXiv:2111.10780 Pytorch anchor free
S2A-Net ResNet50/ResNet101 79.42/79.15 TGRS Pytorch refined single stage, feature alignment
OFA-Net ResNet101 79.52 PRICAI2021 - 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
SES-Net ResNet50 79.80 arXiv:2111.03420 - sampling equivariance, self-attention
SARA ResNet50/ResNet101 79.91/79.13 Remote Sensing - self-adaptive aspect ratio anchor, refine
ARP+R-EIoU YOLOv5x6 79.93 arXiv:2109.10187 - area ratio of parallelogram, R-EIoU, yolov5
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
O2MER ResNet50 80.47 arXiv:2112.00504 - consistent geometric constraint
KLD ResNet152 80.63 NeurIPS2021 TF, Pytorch code (YOLOv5-KLD) Kullback-Leibler divergence, high-precision, scale invariance
AOPG ResNet50/ResNet101 80.66/80.19 arXiv:2110.01931 Pytorch anchor free, feature align
Oriented R-CNN ResNet50/ResNet101 80.87/80.52 ICCV2021 Pytorch Rotation FPN, Gliding Vertex

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 ResNeXt101 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 - enhanced FPN
NPMMR-Det DarkNet53 78.93 TGRS Pytorch non-local, enhanced FPN
Parallel Cascade R-CNN ResNeXt101 78.96 Journal of Physics: Conference Series - cascade rcnn
DM-FPN ResNet-Based 79.27 Remote Sensing - enhanced FPN
DDBN ResNet101 79.3 PR - adjacent feature compensation, dual detection branch
SCRDet++ ResNet101 79.35 arXiv:2004.13316 TF denoising
HSP ResNet101 80.42 TGRS hierarchical semantic propagatio

DOTA1.5 (Task1)

Model Backbone mAP Paper Link Code Link Remark Recommend
APE ResNeXt101(32x4) 78.34 TGRS arXiv:1906.09447 - length independent IoU (LIIoU)
OWSR Ensemble (ResNet101 + ResNeXt101 + mdcn-ResNet101) 76.60 CVPR2019 WorkShop - enhanced FPN
ReDet ReR50-ReFPN 76.80 CVPR2021 Pytorch rotation-equivariant, rotation-invariant RoI Align,
DAFNe ResNet101 71.99 arXiv:2109.06148 Pytorch r-fcos

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 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 and Benchmarks

Base Method Code Link
RetinaNet RetinaNet_Tensorflow_Rotation
YOLOv3 rotate-yolov3-Pytorch, YOLOv3-quadrangle-Pytorch, yolov3-polygon-Pytorch
YOLOv4 rotate-yolov4-Pytorch
YOLOv5 rotation-yolov5-Pytorch, YOLOv5_DOTA_OBB (CSL)
CenterNet R-CenterNet-Pytorch
JDet Jittor
OBBDet_Swin OBBDet_Swin
OBBDet_Swin OBBDet_Swin
OrientedRepPoints OrientedRepPoints_DOTA_Swin

Dataset

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