Spatial attention inference model for cascaded siamese tracking with dynamic residual update strategy

Huanlong Zhang, Mengdan Liu, Xiaohui Song, Yong Wang, Guanglu Yang, Rui Qi

Abstract: Highlights•Innovative spatial attention model boosts spatial feature representation.•Target-background interdependencies captured via self & cross-attention.•Cascaded localization-aware network solves classification-regression misalignment.•Dynamic residual strategy with CFNet adapts to target appearance changes.•Extensive validation shows superior performance on diverse tracking benchmarks.