Early-stopped learning for action prediction in videos

Author(s):  
Mehrin Saremi ◽  
Farzin Yaghmaee
Keyword(s):  
2009 ◽  
Author(s):  
Waltraud Stadler ◽  
Ricarda I. Schubotz ◽  
Anne Springer ◽  
Wolfgang Prinz

Author(s):  
Xinxiao Wu ◽  
Ruiqi Wang ◽  
Jingyi Hou ◽  
Hanxi Lin ◽  
Jiebo Luo

Author(s):  
Mark A Thornton ◽  
Diana I Tamir

Abstract The social world buzzes with action. People constantly walk, talk, eat, work, play, snooze and so on. To interact with others successfully, we need to both understand their current actions and predict their future actions. Here we used functional neuroimaging to test the hypothesis that people do both at the same time: when the brain perceives an action, it simultaneously encodes likely future actions. Specifically, we hypothesized that the brain represents perceived actions using a map that encodes which actions will occur next: the six-dimensional Abstraction, Creation, Tradition, Food(-relevance), Animacy and Spiritualism Taxonomy (ACT-FAST) action space. Within this space, the closer two actions are, the more likely they are to precede or follow each other. To test this hypothesis, participants watched a video featuring naturalistic sequences of actions while undergoing functional magnetic resonance imaging (fMRI) scanning. We first use a decoding model to demonstrate that the brain uses ACT-FAST to represent current actions. We then successfully predicted as-yet unseen actions, up to three actions into the future, based on their proximity to the current action’s coordinates in ACT-FAST space. This finding suggests that the brain represents actions using a six-dimensional action space that gives people an automatic glimpse of future actions.


2021 ◽  
Author(s):  
Ji'an Tao ◽  
Lu Xu ◽  
Xinyan Ma ◽  
Jianyu Yan ◽  
Kuizhi Mei

2020 ◽  
Vol 42 (3) ◽  
pp. 539-553 ◽  
Author(s):  
Yu Kong ◽  
Zhiqiang Tao ◽  
Yun Fu
Keyword(s):  

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