We use a single layer MLP as the lightweight predictor. We calculate the negative cosine similarity based on Eq. (5). Full size image Algorithm 1 Curriculum Mixup in SimSiam. Full size image Dataset Our experiments are conducted using the GI endoscopic dataset, HyperKvasir18. In total, there...
In this study, we introduce KPGT58, a self-supervised learning framework designed to enhance molecular representation learning, and thus advance the downstream molecular property prediction tasks. The KPGT framework combines a high-capacity model, called Line Graph Transformer (LiGhT), particularly desi...
raise RuntimeError('features_only not implemented for Vision Transformer models.') return build_model_with_cfg( ConViT, variant, pretrained, default_cfg=default_cfgs[variant], **kwargs) return build_model_with_cfg(ConViT, variant, pretrained, **kwargs) @register_model2...
During pre-training, the K node interacts with other nodes in the multi-head attention module of each transformer layer, thereby providing guidance for predicting the masked nodes. This mechanism enables the backbone model to effectively capture both structural and semantic information within molecular ...
Transformer-Based Architectures for Medical Image Segmentation Drawing inspiration from the success of transformers in the field of CV, several scholars have endeavored to incorporate transformer components to improve the performance of medical image segmentation. Vision transformers (ViTs) [18] have ...
Single-image super-resolution (SISR) techniques have become a vital tool for improving image quality and clarity in the rapidly evolving field of digital imaging. Convolutional neural network (CNN) and transformer-based SISR techniques are very popular. However, CNN-based techniques are not suitable...
in order to avoid certain redundancy caused by completely using feature distance-based sampling; therefore, they choose to combine the Euclidean distance and the method of sampling the farthest point based on feature distance, and remove the very time-consuming FP module and optimization module in ...