Tag: computer vision

A new framework called FuseDepth fuses frozen detection, matting and surface-normal models with an adapted Depth Anything backbone to achieve ...

A hybrid machine learning framework that reads leaf color, texture, and vein patterns diagnosed magnesium and iron deficiencies in field-grown ...

Researchers have built a WaveNet-CNN framework that fuses spatial and frequency-domain features with a dual moth flame optimization algorithm to ...

Researchers have developed an attention-enhanced YOLOv8n-CBAM deep learning model that detects red palm weevils in pheromone trap images with high ...

A new review in Food Science & Nutrition details how machine learning, computer vision, sensors, blockchain, and natural language processing ...

Researchers at Tarbiat Modares University have developed DuoDiT, a dual-stream architecture that adapts large diffusion transformers for image generation by ...

Researchers fine-tuned the Cellpose-SAM model to separate overlapping cervical cells in Pap-smear images, achieving improved segmentation accuracy on an independent ...

Chinese researchers have unveiled a lightweight hierarchical deep learning framework that matches or beats state-of-the-art cross-domain few-shot learning methods while ...

A new cross-modal AI framework called CMAC-Net aligns visual defect regions with textual semantics, improving industrial anomaly detection accuracy and ...

A sub-$200 edge device that fuses hive video, audio, and environmental data has cut varroa mite false alarms from 27 ...