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An improvement of detection on inactive agents by assigning an additional class for agents.
Inactive agent detection achieve [email protected] of 34.7% on val1, improving about 4% than previous model.
And achieve [email protected] of 49.1% of “Car” agent, improving 4.7% than previous model.
Combined with merged class, an improvement of 1.5% on end-to-end evaluation compared to the best detector of last year.
How do we make our perception stack conscious of active and inactive agents?
Some proposals so far:
Optical Flow (YOLOACT)
Video-Level detection
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