A new multimodal framework combining Swin Transformer image features with clinical metadata achieved 92.55% test accuracy and a 91.33% macro F1-score on a public dataset for skin lesion classification…
Researchers developed Heterogeneous Frame Dispatch Scheduling (H-FraDS), a method that optimizes NVIDIA edge GPUs for autonomous systems by achieving a 2.36x speedup over standard DLA execution, reach…
Researchers have developed the first vision transformer-based method for mapping coastal algal blooms using Landsat-8/9 and Sentinel-2 satellite imagery. The deep learning approach outperformed tradit…
A study evaluating FP4 quantization-aware training (QAT) for real-time anomaly segmentation in brain tumor detection found that architecture choice, not QAT recipe, most determines model quality. The …