Program
Accepted papers
Accepted papers
- DeeSIL: Deep-Shallow Incremental Learning, Eden Belouadah, Adrian Popescu
- Dynamic Adaptation for Non-Stationary Visual Domains, Sindi Shkodrani, Michael Hofmann, Efstratios Gavves
- Domain Adaptive Semantic Segmentation through Structure Enhancement, Fengmao Lv, Qing Lian, Lixin Duan, guowu yang, Guosheng Lin, Sinno Pan
- Adding New Tasks to a Single Network with Weight Transformations using Binary Masks, Massimiliano Mancini, Elisa Ricci, Barbara Caputo, Samuel Rota Bulò
- Shared Gaussian Process Latent Variable Model to Transfer Knowledge Between Human and Robot Coach in Physical Rehabilitation, Maxime Devanne, Sao Mai Nguyen, André Thépaut
- Model Selection for Generalized Zero-Shot Learning, Hongguang Zhang, Piotr Koniusz