Chenfeng Yin

Incremental Object Detection via Future-Aware Decoupled Cross-Head Distillation

Incremental Object Detection (IOD) enables AI systems to continuously acquire new object classes while preserving knowledge of previously learned ones, an ability essential for deployment in dynamic, real-world environments. Existing IOD methods typically rely on knowledge distillation to mitigate c