Chinese researchers have built a compact gravity sensor that measures tiny mass changes, with the potential to detect ...

Abstract: Small object detection in UAV aerial imagery presents significant challenges due to limited pixel coverage and complex backgrounds. This paper introduces DPLR-DETR (Dynamic Position Large ...

Thursday, the 10th annual International Fact-Checking Day, provides a good opportunity to look at these evolving challenges.

Timely and accurate detection of foreign objects is crucial for the safe operation of transmission lines in power grid. Currently, object detection models have more and more parameters and their ...

The output prediction can be used by perception functions to understand the presence and spatial location of an object in an image. Each Isaac ROS Object Detection package is used in a graph of nodes ...

The TensorFlow Model Garden is a repository with a number of different implementations of state-of-the-art (SOTA) models and modeling solutions for TensorFlow users. We aim to demonstrate the best ...

We’re introducing SAM 3 and SAM 3D, the newest additions to our Segment Anything Collection, which advance AI understanding of the visual world. SAM 3 enables detection and tracking of objects in ...

Abstract: Object detection has become crucial due to its extensive applications across various industries. However, the data used to train these models is often sensitive and proprietary, raising ...

The robustness of 3D object detection in large-scale outdoor point clouds degrades significantly when deployed in an unseen environment due to domain shifts. To minimize the domain gap, existing works ...