136 citations · 139 across the 7 of their papers we have counts for
7 papers
LSTTN: A Long-Short Term Transformer-based Spatio-temporal Neural Network for Traffic Flow Forecasting
Qinyao Luo, Silu He, Xing Han +2
Accurate traffic forecasting is a fundamental problem in intelligent transportation systems and learning long-range traffic representations with key information through spatiotempo…
A Multi-level Distillation based Dense Passage Retrieval Model
Haifeng Li, Mo Hai, Dong Tang
Ranker and retriever are two important components in dense passage retrieval. The retriever typically adopts a dual-encoder model, where queries and documents are separately input…
MSFormer: A Skeleton-multiview Fusion Method For Tooth Instance Segmentation
Yuan Li, Huan Liu, Yubo Tao +4
Recently, deep learning-based tooth segmentation methods have been limited by the expensive and time-consuming processes of data collection and labeling. Achieving high-precision s…
Using Global Land Cover Product as Prompt for Cropland Mapping via Visual Foundation Model
Chao Tao, Aoran Hu, Rong Xiao +2
Data-driven deep learning methods have shown great potential in cropland mapping. However, due to multiple factors such as attributes of cropland (topography, climate, crop type) a…
BCE-Net: Reliable Building Footprints Change Extraction based on Historical Map and Up-to-Date Images using Contrastive Learning
Cheng Liao, Han Hu, Xuekun Yuan +6
Automatic and periodic recompiling of building databases with up-to-date high-resolution images has become a critical requirement for rapidly developing urban environments. However…
Overcome Anterograde Forgetting with Cycled Memory Networks
Jian Peng, Dingqi Ye, Bo Tang +3
Learning from a sequence of tasks for a lifetime is essential for an agent towards artificial general intelligence. This requires the agent to continuously learn and memorize new k…