NASA has not, based on the sources available, held any briefing on an interstellar object that a professor publicly condemned as “deceptive.” The links provided instead point to word lists, language ...

Abstract: Object detection in remote sensing images faces significant challenges posed by tiny objects, which are often overwhelmed by background noise. These tiny objects exhibit significant scale ...

Artificial intelligence is already reshaping how I read recipes, plan meals, and even argue about nutrition, so it is no surprise that the same tools are now being pointed at one of the most ...

Human and physical features are things that you can see all around you. Physical features like seas, mountains and rivers are natural. They would be here even if there were no people around. Human ...

Abstract: Underwater optical images inevitably suffer from various degradation factors such as blurring, low contrast, and color distortion, which hinder the accuracy of object detection tasks. Due to ...

Awesome Label-Efficient 3D Object Detection: A curated list of label-efficient 3D object detection: Unsupervised, Weakly-Supervised, Sparsely-Supervised, Semi-Supervised.

Label-Efficient 3D Object Detection is a set of techniques designed to train 3D object detection models using minimal labeled data. These methods leverage strategies like semi-supervised learning, ...