Object detection in remote sensing images (RSIs) requires the locating and classifying of
objects of interest, which is a hot topic in RSI analysis research. With the development of …

Optical remote sensing object detection is a challenging task, because of the complex
background interference, ambiguous appearances of tiny objects, densely arranged …

Advances in space-based ocean surveillance systems have improved the detection of
objects from high-quality remote-sensing big data. Previous studies mainly focused on …

Purpose Liver cancer is one of the most common malignant tumors in the world, ranking fifth
in malignant tumors. The degree of differentiation can reflect the degree of malignancy. The …

Existing anchor-based rotated object detection methods have achieved some amazing
results, but these methods require some manual preset anchors, which not only introduce …

Artificial intelligence (AI) and image processing are revolutionising the diagnosis and
management of liver cancer. Recent advancements showcase AI's ability to analyse medical …

With the continuous advancement of remote sensing (RS) technology, RS ship detection
plays a crucial role in ensuring maritime safety and the oceanic economy, but it also faces …

High-precision remote sensing image object detection has broad application prospects in
military defense, disaster emergency, urban planning, and other fields. The arbitrary …

The development of infrared remote sensing technology improves the ability of night target
observation, and thermal imaging systems (TIS) play a key role in the military field. Ship …

Ship detection is an important research topic in the field of remote sensing. Compared with
optical detection methods, Synthetic Aperture Radar (SAR) ship detection can penetrate …