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Found 6 papers, 1 papers with code
Rice Plant Disease Detection and Diagnosis using Deep Convolutional Neural Networks and Multispectral Imaging
Rice is considered a strategic crop in Egypt as it is regularly consumed in the Egyptian people's diet.
Deep learning models for predicting RNA degradation via dual crowdsourcing
Furthermore, these models generalized to blindly predicting orthogonal degradation data on much longer mRNA molecules (504-1588 nucleotides) with improved accuracy compared to previously published models.
Robust Real-Time Pedestrian Detection on Embedded Devices
Detection of pedestrians on embedded devices, such as those on-board of robots and drones, has many applications including road intersection monitoring, security, crowd monitoring and surveillance, to name a few.
Multi Projection Fusion for Real-time Semantic Segmentation of 3D LiDAR Point Clouds
Semantic segmentation of 3D point cloud data is essential for enhanced high-level perception in autonomous platforms.
Ranked #3 on
LIDAR Semantic Segmentation
on SemanticKITTI
Robust Real-time Pedestrian Detection in Aerial Imagery on Jetson TX2
Detection of pedestrians in aerial imagery captured by drones has many applications including intersection monitoring, patrolling, and surveillance, to name a few.
Deep Convolutional Encoder-Decoders with Aggregated Multi-Resolution Skip Connections for Skin Lesion Segmentation
The prevalence of skin melanoma is rapidly increasing as well as the recorded death cases of its patients.
