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, ...
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 ...
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 ...
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