Summary of Sardet-100k: Towards Open-source Benchmark and Toolkit For Large-scale Sar Object Detection, by Yuxuan Li et al.
SARDet-100K: Towards Open-Source Benchmark and ToolKit for Large-Scale SAR Object Detection
by Yuxuan Li, Xiang Li, Weijie Li, Qibin Hou, Li Liu, Ming-Ming Cheng, Jian Yang
First submitted to arxiv on: 11 Mar 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI); Computational Engineering, Finance, and Science (cs.CE); Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This research paper addresses the challenges in Synthetic Aperture Radar (SAR) object detection by introducing a new benchmark dataset and an open-source method for large-scale SAR object detection. The proposed SARDet-100K dataset is the result of combining 10 existing SAR detection datasets, providing a diverse and large-scale dataset for research purposes. The paper also discusses the disparities between pretraining on RGB datasets and finetuning on SAR datasets, and proposes a novel Multi-Stage with Filter Augmentation (MSFA) pretraining framework to bridge these gaps. The MSFA method enhances the performance of SAR object detection models while demonstrating exceptional generalizability and flexibility across diverse models. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary SAR object detection is important for all-weather imaging, but it has limited public datasets. This paper creates a new dataset and an open-source method to help with research. They combined 10 existing datasets into one large dataset called SARDet-100K. The paper also shows that training models on RGB images doesn’t work well for SAR images. To fix this, they created a new way of pretraining models called MSFA. This helps models work better and be more flexible. |
Keywords
* Artificial intelligence * Object detection * Pretraining
