TL; DR. We propose a novel perspective to regard the multiple object tracking task as an in-context ID prediction problem. Given a set of trajectories carried with ID information, MOTIP directly ...
SEATTLE — On this week's Look What I Found segment on ARC Seattle, Theron Zahn brought in a weird object. What do you think it is and where did it come from? Watch the video above for the answer. Find ...
Abstract: Detecting small objects in drone imagery is challenging due to low resolution and background blending, leading to limited feature information. Multiscale feature fusion can enhance detection ...
Click to share on Facebook (Opens in new window) Facebook Click to share on X (Opens in new window) X A Harvard astrophysicist and NASA are locked in a public disagreement over a small, shiny object ...
Abstract: The challenge in open-world object detection, similarly to few- and zero-shot learning, is to generalize beyond the class distribution of the training data. In this paper, we propose a ...
Add Yahoo as a preferred source to see more of our stories on Google. A while back, Reddit user _AhappyTeddyBear asked: "For those who have witnessed a wedding objection during the 'speak now or ...
SpaceX’s Starlink division confirmed yesterday that it lost contact with a satellite on Sunday and is trying to locate space debris that might have been produced by… whatever happened there. “LeoLabs ...
According to AI at Meta, the core innovation in SAM 3.1 is object multiplexing, enabling the model to track up to 16 objects in a single forward pass, whereas earlier versions required a separate pass ...
According to AI at Meta on X, Meta has released SAM 3.1, a drop-in update to SAM 3 that adds object multiplexing to significantly improve video processing efficiency without sacrificing segmentation ...
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