Therefore, we propose a novel Multi-Modal Fusion Transformer that is effective in integrating information from different modalities at multi- ple stages during feature encoding and hence improves upon the limitations of the late fusion approach. Sensor Fusion Methods for Ob...
Detection of inulin-binding bacteria in the gut microbiota Many polysaccharides are too large to be directly imported into the cell, so they must either first be partially hydrolyzed by secreted enzymes or captured by cell surface proteins with carbohydrate-binding modules26,27,28,29, although the...
2023.10.11The 3D lane detection of PETRv2 has been released onTopoMLP. It support openlanev2 and won the 1st place in CVPR2023 workshop!. 2023.01.25Our multi-view 3D detection frameworkStreamPETR(63.6% NDS and 55.0% mAP)** without TTA and future frames. ...
Focal loss for dense object detection. In Proceedings of the IEEE international conference on computer vision (pp. 2980–2988) Lu, J., Clark, C., Zellers, R., Mottaghi, R., & Kembhavi, A.(2022). Unified-io: A unified model for vision, language, and multi-modal tasks. arXiv ...
Dementia Research Centre, UCL Institute of Neurology, London, UKLane, Christopher A.Dementia Research Centre, UCL Institute of Neurology, London, UKCoath, WilliamDementia Research Centre, UCL Institute of Neurology, London, UKMalone, Ian B.
We measured output voltage signals of the vibration sensing units with different open ratios (ORs) considered the proportion of area perforated with acoustic holes in the whole area on the frequency response of the devices as shown in Fig.3D. The frequency ranges we tested encompass the fundamenta...
With the advancement of high-throughput sequencing technologies, the integration of multi-omics and multi-modal data has become an important trend in the study of complex diseases. Multi-omics/multi-modal data provide new perspectives for a deeper understanding of the pathogenesis and development of ...
When it comes to image detection, natural language processing, and voice recognition, deep learning can always outperform the other types of algorithms. Deep learning assisted disease screening and clinical outcome prediction or automated driving, which were not feasible using previous methods, are well...
Although metastatic disease is the leading cause of cancer-related deaths, its tumor microenvironment remains poorly characterized due to technical and biospecimen limitations. In this study, we assembled a multi-modal spatial and cellular map of 67 tumo
We present dyngen, a multi-modal simulation engine for studying dynamic cellular processes at single-cell resolution. dyngen is more flexible than current single-cell simulation engines, and allows better method development and benchmarking, thereby stimulating development and testing of computational metho...