4 papers
Breaking the Model Forgetting Cycle in Long-Incremental 3D Object Detection
Peisheng Qian, Jie Xu, Xulei Yang +1
The paper proposes a Learning‑Dynamics‑driven Memory and Review (LDMR) framework to reduce forgetting in long‑incremental 3D object detection by monitoring per‑class detection qual…
Late-decoupled 3D Hierarchical Semantic Segmentation with Semantic Prototype Discrimination based Bi-branch Supervision
Shuyu Cao, Chongshou Li, Jie Xu +2
3D hierarchical semantic segmentation (3DHS) is crucial for embodied intelligence applications that demand a multi-grained and multi-hierarchy understanding of 3D scenes. Despite t…
Modeling Temporal Dependencies within the Target for Long-Term Time Series Forecasting
Qi Xiong, Kai Tang, Minbo Ma +3
Long-term time series forecasting (LTSF) is a critical task across diverse domains. Despite significant advancements in LTSF research, we identify a performance bottleneck in exist…
CoIFNet: A Unified Framework for Multivariate Time Series Forecasting with Missing Values
Kai Tang, Ji Zhang, Hua Meng +5
Multivariate time series forecasting (MTSF) is a critical task with broad applications in domains such as meteorology, transportation, and economics. Nevertheless, pervasive missin…