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LiteSeg: A Novel Lightweight ConvNet for Semantic Segmentation
Semantic image segmentation plays a pivotal role in many vision applications including autonomous driving and medical image analysis. -
A Robust and Precise ConvNet for small non-coding RNA classification (RPC-snRC)
Functional or non-coding RNAs are attracting more attention as they are now potentially considered valuable resources in the development of new drugs intended to cure several... -
Technical Feasibility of Creating a Beach Grain Size Database with Citizen Sc...
The dataset used for training and testing the SediNet model for PSD determination. -
GRAINet: Mapping Grain Size Distributions in River Beds from UAV Images
The dataset used for training and testing the GRAINet model for PSD determination. -
PSDNet: Determination of Particle Size Distributions Using Synthetic Soil Images
The dataset used for training and testing the ConvNet model for PSD determination.
