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Found 6 papers, 1 papers with code
Dual-State Personalized Knowledge Tracing with Emotional Incorporation
To alleviate this limitation, we explicitly models the personalized learning process by incorporating the emotions, a representative personalized behavior in the learning process, into KT framework.
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.
Layer-wise Customized Weak Segmentation Block and AIoU Loss for Accurate Object Detection
The anchor-based detectors handle the problem of scale variation by building the feature pyramid and directly setting different scales of anchors on each cell in different layers.
Reconcile Prediction Consistency for Balanced Object Detection
The Harmonic loss enables these two branches to supervise and promote each other during training, thereby producing consistent predictions with high co-occurrence of top classification and localization in the inference phase.
Single-Shot Two-Pronged Detector with Rectified IoU Loss
These object detectors, which strengthen features via a top-down pathway and lateral connections, are mainly to enrich the semantic information of low-level features, but ignore the enhancement of high-level features.
VisDrone-DET2019: The Vision Meets Drone Object Detection in Image Challenge Results
Results of 33 object detection algorithms are presented.
