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Personalized Forgetting Mechanism with Concept-Driven Knowledge Tracing
To address these problems, we propose a Concept-driven Personalized Forgetting knowledge tracing model (CPF) which integrates hierarchical relationships between knowledge concepts and incorporates students' personalized cognitive abilities.
LDP-Net: An Unsupervised Pansharpening Network Based on Learnable Degradation Processes
In addition, a novel hybrid loss function is proposed to constrain both spatial and spectral consistency between the pansharpened image and the PAN and LRMS images at different resolutions.
Domain Adaptive SiamRPN++ for Object Tracking in the Wild
The SDA module aligns the feature representations of the tracking target's appearance to eliminate the semantic-level domain shift.
Hard Negative Samples Emphasis Tracker without Anchors
Trackers based on Siamese network have shown tremendous success, because of their balance between accuracy and speed.
