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Found 5 papers, 1 papers with code
A Survey on Graph Classification and Link Prediction based on GNN
Traditional convolutional neural networks are limited to handling Euclidean space data, overlooking the vast realm of real-life scenarios represented as graph data, including transportation networks, social networks, and reference networks.
Single Image Super-Resolution Using Lightweight Networks Based on Swin Transformer
In recent years, deep learning has been applied in the field of image super-resolution reconstruction.
Personalized Heterogeneous Federated Learning with Gradient Similarity
In SPFL, the server uses the Softmax Normalized Gradient Similarity (SNGS) to weight the relationship between clients, and sends the personalized global model to each client.
Rapid detection and recognition of whole brain activity in a freely behaving Caenorhabditis elegans
Second, 2-dimensional neuronal regions are fused into 3-dimensional neuron entities.
Lesion Border Detection in Dermoscopy Images Using Ensembles of Thresholding Methods
Dermoscopy is one of the major imaging modalities used in the diagnosis of melanoma and other pigmented skin lesions.
