Survey of small object detection

Survey of small object detection

Towards Large-Scale Small Object Detection: Survey and Benchmarks

arXiv paper abstract https://arxiv.org/abs/2207.14096v1

arXiv PDF paper https://arxiv.org/pdf/2207.14096v1.pdf

Project page https://shaunyuan22.github.io/SODA

… the unsatisfactory situation of Small Object Detection (SOD), one of the notoriously challenging tasks in computer vision, owing to the poor visual appearance and noisy representation caused by the intrinsic structure of small targets.

In addition, large-scale dataset for benchmarking small object detection methods remains a bottleneck.

… first conduct a thorough review of small object detection.

Then … construct two large-scale Small Object Detection dAtasets (SODA), SODA-D and SODA-A, which focus on the Driving and Aerial scenarios respectively.

… evaluate the performance of mainstream methods on SODA.

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I apply innovative technologies like machine learning, computer vision, and physics to further an organization's goals. Am recognized innovator with 66 patents.