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Found 4 papers, 2 papers with code
MARS: Multimodal Active Robotic Sensing for Articulated Characterization
Precise perception of articulated objects is vital for empowering service robots.
Masked Generative Extractor for Synergistic Representation and 3D Generation of Point Clouds
Subsequently, we design a sliding masking ratios to smooth the transition from representation learning to generative learning.
FSMR: A Feature Swapping Multi-modal Reasoning Approach with Joint Textual and Visual Clues
Multi-modal reasoning plays a vital role in bridging the gap between textual and visual information, enabling a deeper understanding of the context.
Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs
Graph neural networks (GNNs), as the de-facto model class for representation learning on graphs, are built upon the multi-layer perceptrons (MLP) architecture with additional message passing layers to allow features to flow across nodes.
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