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Pages tagged self-supervised
:page_facing_up: **[Read on arXiv](https://arxiv.org/abs/2408.11447)** GaussianOcc by Gan et al. (University of Tokyo / RIKEN / South China University of Technology / SIAT-CAS) is a systematic method that applies Gaussi…
**[Read on arXiv](https://arxiv.org/abs/2412.13193)** GaussTR is a Gaussian-based Transformer framework that achieves zero-shot semantic occupancy prediction without any 3D annotations. The key idea is to combine sparse…
[Read on arXiv](https://arxiv.org/abs/2406.08481) LAW (CASIA, ICLR 2025) introduces a self-supervised latent world model that enhances end-to-end autonomous driving by learning to predict future latent states of the dri…
📄 **[Read on arXiv](https://arxiv.org/abs/2505.24139)** S4-Driver is a self-supervised framework that adapts Multimodal Large Language Models (MLLMs) for autonomous vehicle motion planning. The system processes multi-vi…
📄 **[Read on arXiv](https://arxiv.org/abs/2311.12754)** SelfOcc (Huang et al., Tsinghua University, CVPR 2024) introduces the first self-supervised framework for vision-based 3D occupancy prediction that works with mult…
📄 **[Read on arXiv](https://arxiv.org/abs/2302.04761)** Large language models exhibit remarkable in-context learning abilities but paradoxically struggle with tasks that are trivial for simple external tools -- arithmet…