Abstract: We present ConvMap: an RTL-based framework that utilizes specific mapping techniques to FPGA resources to achieve an improved throughput for convolution (Conv) operations. Our approach maps ...
Abstract: Intraclass heterogeneity of medical diagnostic objects poses a challenge for accurate intraclass classification of medical fine-grained images (MFGIs) within deep learning. To accurately ...
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