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Found 4 papers, 2 papers with code
Spatial-Temporal Large Language Model for Traffic Prediction
In this paper, we propose a Spatial-Temporal Large Language Model (ST-LLM) for traffic prediction.
KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy
To address this issue, we first present a novel Increment training strategy: instead of masking nodes (and reconstructing them), we add virtual nodes into the training graph so as to mitigate the graph gap issue naturally.
Self-Calibrated Cross Attention Network for Few-Shot Segmentation
Moreover, when calculating SCCA, we design a scaled-cosine mechanism to better utilize the support features for similarity calculation.
Ranked #7 on
Few-Shot Semantic Segmentation
on COCO-20i (5-shot)
Road Extraction with Satellite Images and Partial Road Maps
In this paper, we propose to conduct road extraction based on satellite images and partial road maps, which is new.
