Tag: data augmentation

Researchers in Bangladesh have developed an explainable deep learning framework that classifies brain tumors on MRI scans in 2.45 milliseconds ...

Researchers have built an anti-interference machine translation model that combines translation-training corpora, adversarial noise injection, and functional equivalence constraints to ...

A new survey argues that the evolution of deep clustering is fundamentally the evolution of the prior knowledge embedded in ...

A first-of-its-kind survey maps how data perturbation, synthetic rendering, and generative models are transforming AI systems that detect, track, and ...

Researchers in Shanghai have developed DNMMA, a framework that cleans noise from both text and images in social media posts ...

Researchers in Iraq and Oman have engineered a modified ConvNeXt V2 deep learning model that classifies dermoscopic skin lesions with ...

Researchers have developed a two-level evaluation framework showing that synthetic vertebrae which score highly on geometric similarity can still fail ...

Researchers report the first trained stance-detection models and benchmark for Sorani Kurdish, using data augmentation and QLoRA fine-tuning of KuBERT ...

Researchers in India have developed a generative adversarial framework that synthesizes realistic radar micro-Doppler spectrograms, lifting human activity recognition accuracy ...

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 ...