Tag: Computer Vision

A systematic review of 91 studies shows AI-based medication recognition advancing rapidly through detection, OCR, and few-shot learning, while external ...

Researchers at Kocaeli University combined RGB video features and skeleton-based motion features in a multimodal deep learning framework that detects ...

Researchers at TU Delft have developed MonoRace, an AI system that flew a racing drone at up to 100 km/h ...

A new graph neural network framework evaluates dance training in real time and automatically adapts practice plans, achieving record accuracy ...

A sweeping review of 1,081 studies from 2014 to 2024 shows convolutional neural networks rapidly becoming the world's leading tool ...

Researchers have developed S2Fusion, a local-to-global framework that improves infrared and visible image fusion through cross-modal dynamic kernels and a ...

Tanzanian researchers trained deep neural networks to classify nitrogen status in maize leaves from smartphone photos, achieving over 93 percent ...

A new end-to-end AI detector called SFM-DETR combines Mamba state space modeling with frequency-domain analysis to identify maize seedlings and ...

A new reliability-aware neural radiance field workflow reconstructs public art sculptures with sub-1.5-percent geometric error and delivers smooth 27-fps interactive ...

Researchers have reimagined pixels as three-dimensional cuboids whose sizes are set by RGB values, using the empty space between them ...

Researchers in Colombia have developed Col-Ovo, a smartphone-based artificial intelligence system that counts Aedes aegypti mosquito eggs in seconds, matching ...

A new taxonomy-aware segmentation framework links every diseased pixel to both its host crop and its disease, delivering state-of-the-art results ...

Researchers in Mexico have built an AI pipeline combining SAM2, Florence2 and Stable Diffusion XL to detect and segment cracks ...

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 ...