Abstract: In this paper, we focus on a challenging Incremental Object Detection (IOD) problem. Existing IOD methods adopt an image-to-annotation alignment paradigm, which attempts to complete the ...

Abstract: Human-Object Interaction (HOI) detection, as a foundational task in human-centric understanding, aims to detect interactive triplets in real-world scenarios. To better distinguish diverse ...

India has emerged as one of the world’s most dynamic and rapidly advancing centers for machine learning (ML)–enabled scientific research, according to the newly released <a href= ...

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 ...

This repository is the official Pytorch implementation for the paper Rethinking Multi-modal Object Detection from the Perspective of Mono-Modality Feature Learning. If you have any questions, please ...

Astronomers have detected a massive object moving in a synchronized path behind Earth. Early measurements suggest it has been trailing the planet longer than previously assumed. Its trajectory does ...

These models can now detect and segment images and even create 3D scans of any object or human in them. In videos, these models are capable of segmentation and tracking of objects and humans. Like the ...