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How to Track Objects in Videos Using Self-supervised Techniques
Tuesday Dec 15 2020 17:00 GMT
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How to Track Objects in Videos Using Self-supervised Techniques
Why This Is Interesting

Object tracking is gaining lots of attention and applications. MAST uses only 1 annotated data (pixel level) and achieves a high accuracy.

Comapring with unseen object categories MAST outperforms almost all of trained model using heavy supervision.

Self-supervised algorithms can serve as a strong competitor to their supervised counterparts due to demand for less computation power and better generalizability.

Discussion Points

Introducing Supervised Video tracking and semi-supervises.

Prior approaches of semi-supervised and memory-augmented models.

Proposed solutions algorithm and explanations.

Show casing MAST results vs. Other approaches.

Time of Recording: Tuesday Dec 15 2020 17:00 GMT