Abstract: To address the challenge of detecting small objects in aerial and satellite remote sensing images with low-resolution, we propose a high-precision object detection method based on PFRNet.

Abstract: Traditional real-time object detection networks deployed in autonomous aerial vehicles (AAVs) struggle to extract features from small objects in complex backgrounds with occlusions and ...

At the heart of every camera is a sensor, whether that sensor is a collection of light-detecting pixels or a strip of 35-millimeter film. But what happens when you want to take a picture of something ...

SAM 3D Objects is a foundation model that reconstructs full 3D shape geometry, texture, and layout from a single image, excelling in real-world scenarios with occlusion and clutter by using ...

Recent research suggests that humans have a surprising ability—we can sometimes feel a physical object before making contact with it. In a study published this past October in the journal IEEE ...

BONUS: Custom Object Counting Mode (TensorFlow implementation): You can train TensorFlow models with your own training data to built your own custom object counter system! If you want to learn how to ...