Additionally, the contrast learning module of DMotion does not introduce additional parameters or computational overhead during inference, maintaining the efficiency of the original encoder-decoder ...

This work proposes an SNN-based encoder-decoder model to improve the recognition performance of AER objects. An STDP-based locally connected spiking neural network (LC-SNN) is proposed as an encoder ...

SMI-SSED [HuggingFace] SMI-SSED (SMILES-SSED) is a Mamba-based encoder-decoder model pre-trained on a curated dataset of 91 million SMILES samples, encompassing 4 billion molecular tokens sourced from ...

Conclusion: The experimental results indicate that our model provides a cost-effective and high-precision ... The network architecture of nnUNet is the same as that of UNet, following the ...

Model cards with additional ... uses RoBERTa as the text encoder). CoCa configs are different from CLIP configs because they have an additional "multimodal_cfg" component which specifies parameters ...

We will delve into the technical details in this section. Figure 1. The diagram of the 3DTU framework in an encoder–decoder setting. The encoder consists of two parts including feature extraction and ...