WebApr 10, 2024 · The regression loss is only applied on the part of the regression map S r.We define the objective function as Eq. (2) based on l 1 norm. (2) L r e g = 1 N ∑ i = 0 N l r e g i = 1 N ∑ i = 0 N τ i ′ − τ i 1, where l r e g i is the sub-regression loss of i th keypoint p i, τ i ′ is a R-tuple encoded 3D information sampled from the regression map S r, and τ i denotes … WebApr 6, 2024 · The current popular one-shot multi-object tracking (MOT) algorithms are dominated by the joint detection and embedding paradigm, which have high inference speeds and accuracy, but their tracking performance is unstable in crowded scenes. Not only does the detection branch have difficulty in obtaining the accurate object position, …
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