Recent vision-language-action (VLA) models rely on 2D inputs, lacking integration with the broader realm of the 3D physical world. Furthermore, they perform action prediction by learning a direct mapping from perception to action, neglecting the vast dynamics of the world and the relations betwee...
modal molecule structure–text model, MoleculeSTM, by jointly learning molecules’ chemical structures and textual descriptions via a contrastive learning strategy. To train MoleculeSTM, we construct a large multi-modal dataset, namely, PubChemSTM, with over 280,000 chemical structure–text pairs. To...
简介:本文提出了多模态bundle adjustment方法,方法的核心是捆绑调整的多模态扩展,用于对包含摄像机和麦克风阵列的多传感器平台获取的3D轨迹数据做注释。 参考资料: SfM(Structure from motion) SFM是最经典的三维重建方案,是一种基于各种收集到的无序图片进行三维重建的离线算法。它通过相机的移动来确定目标的空间和几何...
讲者简介: 报告题目:Multi-Modal Multi-Task 2D/3D Scene Understanding with Least Efforts of Annotations 报告摘要:The talk will cover several important computer vision tasks within the context of visual 2D/3D scene understanding, including scene depth estimation, joint learning of scene depth and scene...
The presented model,considers the transportation system,with its interactions between,the several supply systems and the demand system. The transport model, implemented in a software product called VISUM, consists of a network model describing the spatial and temporal structure of the supply systems, ...
The first is based on classical modal residuals (natural frequencies and mode shapes) which is extended to allow for simultaneous updating of two models, one for the initial undamaged structure and the second for the damaged structure using the test data of both states (multi-model updating). ...
Based on above discussion, the mechanisms behind process-structure-property response in AFSD produced Mg alloys are not fully explored. Furthermore, compared to conventional FSP, AFSD involves addition of multiple layers which may result in subjecting the previously deposited material to repetitive therm...
However, the theoretical basis of multi-modal cognitive computing is still unclear. From the perspective of information theory, this paper establishes an information transmission model to profile the cognitive process. Based on the theory of information capacity, this study finds out that multi-modal ...
Prepare data according to the following directory structure: ├── data | ├── estvqa | ├── test_image | ├── {image_path0} | ├── {image_path1} | · | · | ├── estvqa.jsonl Example of the format of each line of the annotated.jsonlfile: ...
Multimodal large language models (MLLMs) have attracted widespread interest and have rich applications. However, the inherent attention mechanism in its Transformer structure requires quadratic complexity and results in expensive computational overhead. Therefore, in this work, we propose VL-Mamba, a mu...