I am currently working on a deep learning project where I am exploring the use of DeconvNet for various tasks. I would like to know if ncnn supports DeconvNet, or if there are any plans to support it ...
School of Big Data, Zhuhai College of Science and Technology, Zhuhai, China ECoG signals are widely used in Brain-Computer Interfaces (BCIs) due to their high spatial resolution and superior signal ...
I would like to test FeatUp as an upsampling module in the decoder of a UNet like architecture instead of transposed convolution or upsampling + convolution. Is it feasible at the moment ? I feel like ...
Abstract: Weld proximity defects present some characteristics, including mutual occupancy areas, high density, and small-target sizes, which is a challenge to detect industrial sheet welding ...
ABSTRACT: In this paper, an improved Fast-R-CNN nuclear power cold source disaster biological image recognition algorithm is proposed to improve the safety operation of nuclear power plants. Firstly, ...
In this paper, an improved Fast-R-CNN nuclear power cold source disaster biological image recognition algorithm is proposed to improve the safety operation of nuclear power plants. Firstly, the image ...
1 Medical Image Analysis and Biometry Lab, Universidad Rey Juan Carlos, Madrid, Spain 2 Department of Radiology, Hospital Universitario Quirónsalud, Madrid, Spain Pediatric medical imaging represents ...