Abstract: Video Recognition has drawn great research interest and great progress has been made. A suitable frame sampling strategy can improve the accuracy and efficiency of recognition. However, ...

Sampling returned up to 36.3% antimony at Oaky Creek North and 23% antimony with 0.36g/t gold at Oaky Creek South Antimony-gold correlation at Oaky Creek supports model analogous to Australia's ...

In the paper (Section 3.2), it is mentioned that: “We randomly sample 𝑓 frames from the same video and feed them into the base detector…” However, while going through the code, I couldn’t find an ...

Earlier this year, Nvidia announced its new line of 50 Series GPUs with a hot new feature in tow: "Multi Frame Generation." Building on early frame gen tech, these new GPUs allow games to create ...

Understanding long-form videos—ranging from minutes to hours—presents a major challenge in computer vision, especially as video understanding tasks expand beyond short clips. One of the key ...

The ability for machine learning systems to recognize the events that occur inside a video is crucial to the future of AI-based video generation – not least because video datasets require accurate ...

Abstract: Due to the presence of redundancy and interference, frame sampling is a promising but challenging solution to mitigate the expensive computation of video action recognition. Although the ...

Armenia has addressed one of its most pressing statistical challenges in a groundbreaking collaboration between the World Bank’s Poverty and Equity Global Department, WorldPop at the University of ...

While multimodal models (LMMs) have advanced significantly for text and image tasks, video-based models remain underdeveloped. Videos are inherently complex, combining spatial and temporal dimensions ...

ABSTRACT: Video-text retrieval (VTR) is an essential task in multimodal learning, aiming to bridge the semantic gap between visual and textual data. Effective video frame sampling plays a crucial role ...