Tag: vision transformer

A new deep learning framework called MedFusionNet combines diffusion-based synthetic MRI generation with a fusion of three neural architectures to ...

Researchers in South Korea have developed a multimodal deep learning model that fuses visual analysis and textual rubrics to automatically ...

A controlled benchmark from El Salvador found that the lightweight hybrid MobileViT-v2-100 model reached 96.45 percent accuracy in classifying sugarcane ...

Researchers in Kerala combined DinoV3, EVA-02, and MaxViT vision transformers into a boosted, calibrated voting ensemble that detects six laryngeal ...

Researchers report that a data-efficient vision transformer classified lung cancer histopathology images with 98.64 percent accuracy and near-perfect AUC while ...

Researchers have developed FedHybrid-ViT, a privacy-preserving framework that fuses convolutional and transformer models within federated learning to detect deepfakes across ...

Researchers have developed a transformer-based framework with local-global attention that identifies writers from scanned handwriting without reading the text, achieving ...

Researchers have developed a memory-augmented CNN-vision transformer autoencoder that uses Farneback optical flow to detect anomalies in surveillance video with ...

A new self-supervised framework called AnomalyMHKD combines self-distillation, cross-architecture distillation and dynamic teacher freezing to detect industrial anomalies with up ...

A lightweight vision transformer trained on drone hyperspectral imagery detected grapevine red blotch virus across Napa Valley vineyards with 75 ...