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Found 4 papers, 0 papers with code
StreetviewLLM: Extracting Geographic Information Using a Chain-of-Thought Multimodal Large Language Model
Geospatial predictions are crucial for diverse fields such as disaster management, urban planning, and public health.
StarLKNet: Star Mixup with Large Kernel Networks for Palm Vein Identification
To enable CNNs to capture comprehensive feature representations from palm-vein images, we explored the effect of convolutional kernel size on the performance of palm-vein identification networks and designed LaKNet, a network leveraging large kernel convolution and gating mechanism.
SR-HetGNN:Session-based Recommendation with Heterogeneous Graph Neural Network
The current studies generally learn user preferences according to the transitions of items in the user's session sequence.
A non-convex approach to low-rank and sparse matrix decomposition
In this paper, we develop a nonconvex approach to the problem of low-rank and sparse matrix decomposition.
