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Found 5 papers, 2 papers with code
Transformer based Pluralistic Image Completion with Reduced Information Loss
The indices of quantized pixels are used as tokens for the inputs and prediction targets of the transformer.
Interpretable Short-Term Load Forecasting via Multi-Scale Temporal Decomposition
Though the strong capabilities of learning the non-linearity of the load patterns and the high prediction accuracy have been achieved, the interpretability of typical deep learning models for electricity load forecasting is less studied.
Siamese-DETR for Generic Multi-Object Tracking
Recently, Open-Vocabulary MOT (OVMOT) and Generic MOT (GMOT) are proposed to track interested objects beyond pre-defined categories with the given text prompt and template image.
CS-PCN: Context-Space Progressive Collaborative Network for Image Denoising
Currently, image-denoising methods based on deep learning cannot adequately reconcile contextual semantic information and spatial details.
Tiny-PPG: A Lightweight Deep Neural Network for Real-Time Detection of Motion Artifacts in Photoplethysmogram Signals on Edge Devices
Therefore, this study provides an effective solution for resource-constraint IoT smart health devices in PPG artifact detection.
