IEEE

Enhancing Real-Time Road Object Detection: The RD-YOLO Algorithm With Higher Precision and Efficiency

Abstract: To address the challenges of low detection accuracy, high miss rates, and inefficient model computation in complex road scenes, this study introduces RD-YOLO, an enhanced version of the ...
IEEE

Development of Continuous AMSR-E/2 Soil Moisture Time Series by Hybrid Deep Learning Model (ConvLSTM2D and Conv2D) and Transfer Learning for Reanalyses

Abstract: Surface soil moisture (SSM) is a crucial climate variable of the Earth system that regulates water and energy exchanges between the land and atmosphere, directly influencing hydrological, ...
C&EN

ImageDTA: A Simple Model for Drug–Target Binding Affinity Prediction

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Predicting the drug–target binding affinity (DTA) is crucial in drug discovery, and an ...
GitHub

Could not run 'torchvision::deform_conv2d' with arguments from the 'CUDA' backend.

Could not run 'torchvision::deform_conv2d' with arguments from the 'CUDA' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build ...
GitHub

[object detection/tflite] conv2d in WeightSharedConvolutionalBoxPredictor takes super long computation time

We found that tflite models with/without fpn varies greatly on computation time. ssd-mobilenet-v2-fpn tflite model cost about 3000ms per 320x320 image and 10,000ms per 640x640 image, while ...