Introduction

Installation

Please refer to [Installation] for installation instructions.

Getting Started

We follow the same design with MMDetection to enable a deep connection with the computer vision community.

Please see get_started.md for the basic usage of MMDetection. We provide colab tutorial and instance segmentation colab tutorial, and other tutorials for:

• customize data pipelines
• customize_models
• customize runtime settings
• customize_losses
• finetuning models
• export a model to ONNX
• export ONNX to TRT
• weight initialization
• how to xxx

Overview of Benchmark and Model Zoo

Results and models are available in the model zoo.

Architectures

Object Detection	Instance Segmentation	Panoptic Segmentation	Other
Fast R-CNN (ICCV'2015) Faster R-CNN (NeurIPS'2015) RPN (NeurIPS'2015) SSD (ECCV'2016) RetinaNet (ICCV'2017) Cascade R-CNN (CVPR'2018) YOLOv3 (ArXiv'2018) CornerNet (ECCV'2018) Grid R-CNN (CVPR'2019) Guided Anchoring (CVPR'2019) FSAF (CVPR'2019) CenterNet (ArXiv'2019) Libra R-CNN (CVPR'2019) TridentNet (ICCV'2019) FCOS (ICCV'2019) RepPoints (ICCV'2019) FreeAnchor (NeurIPS'2019) CascadeRPN (NeurIPS'2019) Foveabox (TIP'2020) Double-Head R-CNN (CVPR'2020) ATSS (CVPR'2020) NAS-FCOS (CVPR'2020) CentripetalNet (CVPR'2020) AutoAssign (ArXiv'2020) Side-Aware Boundary Localization (ECCV'2020) Dynamic R-CNN (ECCV'2020) DETR (ECCV'2020) PAA (ECCV'2020) VarifocalNet (CVPR'2021) Sparse R-CNN (CVPR'2021) YOLOF (CVPR'2021) YOLOX (ArXiv'2021) Deformable DETR (ICLR'2021) TOOD (ICCV'2021) DDOD (ACM MM'2021)	Mask R-CNN (ICCV'2017) Cascade Mask R-CNN (CVPR'2018) Mask Scoring R-CNN (CVPR'2019) Hybrid Task Cascade (CVPR'2019) YOLACT (ICCV'2019) InstaBoost (ICCV'2019) SOLO (ECCV'2020) PointRend (CVPR'2020) DetectoRS (CVPR'2021) SOLOv2 (NeurIPS'2020) SCNet (AAAI'2021) QueryInst (ICCV'2021) Mask2Former (CVPR'2022)	Panoptic FPN (CVPR'2019) MaskFormer (NeurIPS'2021) Mask2Former (CVPR'2022)	Contrastive Learning SwAV (NeurIPS'2020) MoCo (CVPR'2020) MoCov2 (ArXiv'2020) Distillation Localization Distillation (CVPR'2022) Label Assignment Distillation (WACV'2022)

Components

Backbones	Necks	Loss	Common
VGG (ICLR'2015) ResNet (CVPR'2016) ResNeXt (CVPR'2017) MobileNetV2 (CVPR'2018) HRNet (CVPR'2019) Generalized Attention (ICCV'2019) GCNet (ICCVW'2019) Res2Net (TPAMI'2020) RegNet (CVPR'2020) ResNeSt (CVPRW'2022) PVT (ICCV'2021) Swin (ICCV'2021) PVTv2 (CVMJ'2022) ResNet strikes back (NeurIPSW'2021) EfficientNet (ICML'2019) ConvNeXt (CVPR'2022)	PAFPN (CVPR'2018) NAS-FPN (CVPR'2019) CARAFE (ICCV'2019) FPG (ArXiv'2020) GRoIE (ICPR'2020) DyHead (CVPR'2021)	GHM (AAAI'2019) Generalized Focal Loss (NeurIPS'2020) Seasaw Loss (CVPR'2021)	OHEM (CVPR'2016) Group Normalization (ECCV'2018) DCN (ICCV'2017) DCNv2 (CVPR'2019) Weight Standardization (ArXiv'2019) Prime Sample Attention (CVPR'2020) Strong Baselines (CVPR'2021) Resnet strikes back (NeurIPSW'2021)

Citation

If you use this work useful in your research, please cite this project.

@article{earthnets4eo,
    title={EarthNets: Empowering AI in Earth Observation},
    author={Zhitong Xiong, Fahong Zhang, Yi Wang, Yilei Shi, Xiao Xiang Zhu},
    journal = {arXiv:2210.04936},
    year={2022}
}

License

This project is released under the Apache 2.0 license.