【论文笔记】BEVWorld: A Multimodal World Model for Autonomous Driving via Unified BEV Latent Space paper 链接:https://arxiv.org/abs/2407.05679 github链接(暂未开源):https://github.com/zympsyche/BevWorld 来自百度视觉技术部的一个工作,将Copilot4D改成了多模态的版本,在整个模型里加入了环视图像的通路...
Nevertheless, SAM has not been extensively studied in the domain of multimodal fusion for natural images. In this paper, we introduce SAM into multimodal image segmentation for the first time, proposing a novel framework that combines Latent Space Token Generation (LSTG) and Fusion Mask Prompting ...
论文地址:[2407.05679] BEVWorld: A Multimodal World Model for Autonomous Driving via Unified BEV Latent Space (arxiv.org) Abstract 世界模型因其对未来潜在场景的预测能力而在自动驾驶领域受到越来越多的关注。在本文中,我们提出了BEVWorld,这是一种新方法,将多模态传感器输入标记到一个统一且紧凑的鸟瞰图(BEV...
A new method for multimodal sensor fusion is introduced. The technique relies on a two-stage process. In the first stage, a multimodal generative model is constructed from unlabelled training data. In the second stage, the generative model serves as a reconstruction prior and the search manifold...
Latent character model for engagement recognition based on multimodal behaviors. In Proc. Int'l Workshop Spoken Dialogue Systems (IWSDS), 2018.K. Inoue, D. Lala, K. Takanashi, and T. Kawahara, "Latent character model for engagement recognition based on multimodal behaviors," International Work...
We introduce GEDI, a generative model that identifies latent space variations in multi-sample, multi-condition single-cell datasets and attributes them to sample-level covariates. GEDI enables cross-sample cell state mapping on par with state-of-the-art integration methods, cluster-free differential ...
Individual latent variables are concatenated into a common latent space, which is fed to a masked diffusion model to enable generative modeling. We also introduce a new multi-time training method to learn the conditional score network for multi-modal diffusion. Our methodology substantially outperform...
… 3.5 Class-Specific Latent Affective Space Model For mood disorder modeling, the emotion profiles ob- tained from the LSTM-based emotion detector are used to construct the class-specific LASM, which adopts latent semantic analysis (LSA), to model the structural relation … Content-Based Table ...
Astroturfing is a phenomenon in which sponsors of fake messages or reviews are masked because their intentions are not genuine. Astroturfing reviews are intentionally made to influence people to take decisions in favour of or against a target service or
6b). Thus, the projection of multimodal data to the inferred topic embeddings space enables the discovery of strong disease association, not directly measurable from the raw EHR data. Using these topic embeddings, we can also obtain a comorbidity network centering on a specific disease of interest...