Cognitive Neural Networks for Video Understanding
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This thesis discusses the limitations of current AI models' reasoning capabilities, particularly when it comes to understanding the contents of videos. The thesis proposes an alternate methodology that is more human-like, by breaking down videos into multiple objects before reasoning about its contents.
创建时间：
2026-04-14
