Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic
Unbiased Learning
Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic
Unbiased Learning
Detecting oriented tiny objects, which are limited in appearance information yet prevalent in real-world applications, remains an intricate and under-explored problem. To address this, we systemically introduce a new dataset, benchmark, and a dynamic coarse-to-fine learning scheme in this study. Our proposed dataset, AI-TOD-R, features the smallest object sizes among …