1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2024
Iterative Filter Pruning for Concatenation-based CNN Architectures
Svetlana Pavlitska, Oliver Bagge, Federico Peccia +2
Model compression and hardware acceleration are essential for the resource-efficient deployment of deep neural networks. Modern object detectors have highly interconnected convolut…
eess.IV2021★ 1 cited
COVID-19 Detection in Computed Tomography Images with 2D and 3D Approaches
Sara Atito Ali Ahmed, Mehmet Can Yavuz, Mehmet Umut Sen +9
Detecting COVID-19 in computed tomography (CT) or radiography images has been proposed as a supplement to the definitive RT-PCR test. We present a deep learning ensemble for detect…