29 citations · 30 across the 4 of their papers we have counts for
4 papers
Refined Response Distillation for Class-Incremental Player Detection
Liang Bai, Hangjie Yuan, Tao Feng +2
Detecting players from sports broadcast videos is essential for intelligent event analysis. However, existing methods assume fixed player categories, incapably accommodating the re…
Progressive Learning without Forgetting
Tao Feng, Hangjie Yuan, Mang Wang +3
Learning from changing tasks and sequential experience without forgetting the obtained knowledge is a challenging problem for artificial neural networks. In this work, we focus on…
RLIP: Relational Language-Image Pre-training for Human-Object Interaction Detection
Hangjie Yuan, Jianwen Jiang, Samuel Albanie +4
The task of Human-Object Interaction (HOI) detection targets fine-grained visual parsing of humans interacting with their environment, enabling a broad range of applications. Prior…
Overcoming Catastrophic Forgetting in Incremental Object Detection via Elastic Response Distillation
Tao Feng, Mang Wang, Hangjie Yuan
Traditional object detectors are ill-equipped for incremental learning. However, fine-tuning directly on a well-trained detection model with only new data will lead to catastrophic…