Remark: Comparing computation budget under the same setting (1 Tesla V100-32GB, 64 batch size, etc.) on NTU RGB+D 60 Cross-Subject Benchmark. *EfficientNet-B4 ...

We employ a graph neural network (GNN)-driven transformer algorithm, called GNN-Transformer, to classify every active event pixel in the raw stream into real log-intensity variation or noise. Within ...

MambaVision 提出一种混合 Mamba-Transformer 视觉骨干网络，首次将状态空间模型（SSM）与自注意力机制融合，显著提升图像分类、检测和分割任务的准确率与效率，达到新一代性能-速度最优前沿。 MambaVision 提出一种混合 Mamba-Transformer 视觉骨干网络，首次将状态空间 ...

Heron Power is developing solid-state transformers, which promise to be more compact and responsive than the century-old analog models. Transformers are key parts of the electrical grid ...

As suggested in the title, the lerobot requires transformers higher than 4.48(no upper bound yet). But the following problem will occur when running with the latest ...

In this paper, we aim to extend the Transformer backbone to HSI denoising, and propose a Multi-scale Transformer Denoising Network (MTDNet). Specifically, we design a multi-head global attention ...