运动性
发表于 2025-3-26 22:27:59
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敬礼
发表于 2025-3-27 03:12:16
Rafaela Kraus,Tanja Kreitenweisaches to automated analysis strategies based on deep neural networks. In this chapter, we review the evolution of deep learning methods for video content classification, which includes categorizing human activities and complex events in videos. We provide a detailed discussion on Convolutional Neura
慌张
发表于 2025-3-27 05:59:48
wever, video recognition is limited in understanding the overall event that exists in a video, without a fine-grained analysis of video segments. To compensate for the limitations of video recognition, video localization provides an accurate and comprehensive understanding of videos by predicting wh
侧面左右
发表于 2025-3-27 11:34:05
,Kohärenz – Macht und Veränderung verstehen,onnection between vision and language. The goal of video captioning is to automatically generate a natural language to describe the visual content of a video. This can have a significant impact on video indexing and retrieval, applicable in helping visually impaired people. In this chapter, we intro
Optic-Disk
发表于 2025-3-27 13:44:57
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ALT
发表于 2025-3-27 18:27:28
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Brochure
发表于 2025-3-28 00:38:12
Angst – Bedingung des Mensch-Seinshapters. Furthermore, this chapter will also look into the future of deep-learning-based video understanding by briefly discussing several promising directions, e.g., the construction of large-scale video foundation models, the application of large language models (LLMs) in video understanding, etc.
sterilization
发表于 2025-3-28 05:32:45
Zuxuan Wu,Yu-Gang JiangPresents an overview of deep learning techniques for video understanding.Covers important topics like action recognition, action localization, video captioning, and more.Introduces cutting-edge and st
Pamphlet
发表于 2025-3-28 06:55:27
Wireless Networkshttp://image.papertrans.cn/e/image/284501.jpg
字的误用
发表于 2025-3-28 10:30:46
https://doi.org/10.1007/978-3-031-57679-9action recognition; video captioning; action localization; motion extraction; spatial-temporal feature l