Tag: computer vision

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 developed MuHP-DLNet, a multi-stage deep learning network with a damage-aware dynamic loss that improves the detection and segmentation ...

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 ...

Researchers have built InterPet4D, the first large-scale multimodal 4D dataset of human–dog interactions, and used it to train an AI ...

Researchers have built an AI framework that combines live video of floc formation, real-time turbidity sensing and physics-based equations to ...

Researchers have developed SteleSR, an AI framework that restores weathered ancient stele inscriptions by combining character-structure knowledge from language models ...

Researchers in Vietnam have developed WGPose-LL, a deep learning method that uses paired well-lit images to guide human pose estimation ...

Researchers at Shiv Nadar University have developed a dual-path AI framework that combines a residual gated autoencoder with patchwise nearest-neighbor ...