Video Action Transformer Network | AISC

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Canada LLMs Explained - Aggregate Intellect - AI.SCIENCE
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Published on ● Video Link: https://www.youtube.com/watch?v=PGevQ7h8X_Y


Duration: 1:08:07
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Speaker(s): Mahdi Biparva
Facilitator(s): Alireza Darbehani

Find the recording, slides, and more info at https://ai.science/e/action-recognition-video-action-transformer-network--2E7ZCJBIpdgXLnCweLLS

Motivation / Abstract
The Action Transformer model is for recognizing and localizing human actions in video clips. This model repurposes a Transformer-style architecture to aggregate features
from the spatiotemporal context around the person whose actions are being classified with the model. The paper shows that by using high-resolution, person-specific, class-agnostic queries, the model spontaneously learns to track individual people and to pick up on semantic context from the actions of others.

What was discussed?
- Learn about the Action Transformer Architecture
- Learn about Action Detection in videos
- Learn about attention mechanism in Computer Vision
- Learn about Deep Learning paradigms in Action Recognition
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