MixFormer: End-to-End Tracking with Iterative Mixed Attention
MixFormerv2:Efficient Fully Transformer Tracking
ByteTrack:Multi-Object Tracking by Associating Every Detection Box
P3Aformer:Tracking Objects as Pixel-wise Distributions
TOMP:Transforming Model Prediction for Tracking
SMAT:Separable Self and Mixed Attention Transformers for Efficient Object Tracking
DiffusionTrack(AAAI): Diffusion Model For Multi-Object Tracking