Tag: transformer models
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ViCrop-Det: Training-Free Small Object Detection with Spatial Attention
Discover ViCrop-Det, a training-free framework using spatial attention entropy for enhanced small-object detection with improved accuracy and efficiency.
Probabilistic Transformer for Advanced Time Series Modeling
Discover the ST-PT framework enhancing time series forecasting with probabilistic transformers for robust, adaptable, and interpretable models.
SolarTformer: Transformer Model for Short-Term Solar Forecasting
SolarTformer uses transformer-based deep learning to deliver accurate short-term solar power forecasts, enhancing grid stability and renewable energy manag...
Enhancing Tabular Retrieval Robustness with Stable Representations
Boost tabular retrieval accuracy by stabilizing representations across formats using centroid averaging and novel adapters for consistent AI table search.
MAE Self-Supervised Pretraining for Efficient Medical Segmentation
Enhance medical image segmentation with MAE-based self-supervised pretraining using nnFormer, improving accuracy and reducing labeled data needs.