Smarter Downsampling and Attention Help AI Read Faces More Accurately
Researchers in China have improved facial expression recognition by redesigning how a ConvNeXt network downsamples images and integrates spatial-channel attention, ...
Researchers in China have improved facial expression recognition by redesigning how a ConvNeXt network downsamples images and integrates spatial-channel attention, ...
Researchers in India have developed a hierarchical feature fusion transformer that identifies seventeen jute pest species with 98.43 percent accuracy, ...
Researchers have unveiled an explainable deep learning framework that detects insect crop pests in real time with up to 98 ...
Researchers have built a deep eutectic fluorescent composite paired with YOLOv8 computer vision that detects mercury ions at 60 nanomolar ...
Researchers in China have built a drone trajectory generation system that combines YOLOv8 detection, LSTM motion prediction, and Q-learning-optimized nonlinear ...
University of Queensland researchers have created PlantMicro, a benchmarking dataset showing that vision language models perform at barely above random ...
A camera-based AI system running on an ordinary tablet scored the Balance Error Scoring System more consistently than real-time human ...
Researchers have unveiled a generative adversarial network that rebuilds faces obscured by up to 70 percent occlusion while preserving the ...
A deep learning pipeline combining YOLOv5 detection, skeleton extraction and neural network classification can recognize falls, collisions and shelf climbing ...
Researchers have developed CHS-Net, a hybrid deep learning architecture that sets a new benchmark for segmenting cracks, erosion, and delamination ...
A new RGB-D perception-to-action framework called E-YOLOv11-RGBD raised robotic greenhouse harvesting success from 51.7 to 92.5 percent by converting AI ...
Researchers in India have built a hybrid graph neural network framework that converts retinal images into graph structures, achieving up ...
A hierarchical computer vision framework combining object detection, SAM2 segmentation, and multi-object tracking enables contactless, individual-level dairy cow behavior monitoring ...
Researchers in Algeria have combined convolutional neural networks with a Swin Transformer to detect network intrusions with up to 99.69 ...
Researchers in China have developed a lightweight transformer model with a novel cross-axis attention module and a feature memory component ...
Researchers have developed a trajectory-free, semi-supervised anomaly detection framework that monitors entire hen flocks through statistical activity and density cues, ...
Researchers have developed a dual-stream convolutional neural network that fuses RGB imagery with vectorized Error Level Analysis and CBAM attention ...
Researchers in Türkiye combined transfer learning with MobileNetV2, Xception, and classical classifiers to classify five rice varieties with up to ...
Researchers have released AquaCal, an open-source Python library that corrects the depth-dependent errors caused by light refraction in multi-camera calibration ...
A new computational framework called STARIT converts the spatial positions of mRNA molecules inside cells into image tensors, allowing deep ...
We bring you the latest biotechnology news from best research centers and universities around the world. Check our website.
Bioengineer.org © Copyright 2023 All Rights Reserved.
Bioengineer.org © Copyright 2023 All Rights Reserved.