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TEDE PUCRS: Convolutional neural networks compression for object detection
Abstract (native): Deep Learning (DL) is the state-of-the-art in Computer Vision tasks, such as Image Classification, Object Detection, Instance Segmentation, Content Generation, among others. Over t...
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TEDE PUCRS: Self-attention for improving the differentiable rendering pipeline in image 3D
Abstract (native): Recent studies on Differentiable Rendering models related to 3D reconstruction focus on fully convolutional-based models for data feature extraction or for the decoding process. On...
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TEDE PUCRS: Secure admission and execution of applications in noc-based many-cores systems
Abstract (native): The adoption of many-cores systems introduces the concern for data protection as a critical design requirement due to the resource sharing and the simultaneous executions of severa...