Minimizing digital friction and fostering digital dexterity in K–12 environments requires a concerted effort that involves training, integration between systems and single sign-on.
Visual (Single) Object Tracking aims to continuously localize and estimate the scale of a target in subsequent video frames, given only its initial state in the first frame. This task can be ...
Unsupervised Discovery of Objects Physical Properties Through Maximum Entropy Reinforcement Learning
Abstract: Understanding the environment is crucial for autonomous robots to perform navigation and manipulation tasks. Never-seen-before objects may have complex appearances and dynamics, where only ...
Abstract: Robotic manipulation has made significant advancements, with systems demonstrating high precision and repeatability. However, this remarkable precision often fails to translate into ...
IIIF provides researchers rich metadata and media viewing options for comparison of works across cultural heritage collections. Visit the IIIF page to learn more. AUTODIN (Automatic Digital Network), ...
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 ...
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