MOT FCG++ adds diagonal-modulated GIoU, dynamic appearance, and averaged constant velocity modeling to MOT FCG, improving HOTA, MOTA, and IDF1 on MOT17 and MOT20.
Introduction to random signals and applied kalman filtering: with matlab exercises and solutions
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
MOT FCG++: Enhanced Representation of Spatio-temporal Motion and Appearance Features
MOT FCG++ adds diagonal-modulated GIoU, dynamic appearance, and averaged constant velocity modeling to MOT FCG, improving HOTA, MOTA, and IDF1 on MOT17 and MOT20.