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检索条件"机构=The Visual and Multimodal Applied Learning Lab"
3 条 记 录,以下是1-10 订阅
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Rethinking Cross-Modal Interaction for Efficient Referring Image Segmentation
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IEEE Robotics and Automation Letters 2025年 第8期10卷 7811-7818页
作者: Cuttano, Claudia Pistilli, Francesca Cermelli, Fabio Averta, Giuseppe Politecnico di Torino Visual and Multimodal Applied Learning Lab Department of Control and Computer Engineering Torino 10138 Italy
Referring Image Segmentation, the task of finding and segmenting objects in an image conditioned on a natural language description, is crucial for human-robot collaboration. However, current RIS methods often implemen... 详细信息
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JIST: Joint Image and Sequence Training for Sequential visual Place Recognition
arXiv
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arXiv 2024年
作者: Berton, Gabriele Trivigno, Gabriele Caputo, Barbara Masone, Carlo The Visual and Multimodal Applied Learning Lab Department of Control and Computer Engineering Politecnico di Torino Torino10138 Italy
visual Place Recognition aims at recognizing previously visited places by relying on visual clues, and it is used in robotics applications for SLAM and localization. Since typically a mobile robot has access to a cont... 详细信息
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learning Sequential Descriptors for Sequence-based visual Place Recognition
arXiv
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arXiv 2022年
作者: Mereu, Riccardo Trivigno, Gabriele Berton, Gabriele Masone, Carlo Caputo, Barbara The Visual and Multimodal Applied Learning Lab Department of Control and Computer Engineering Politecnico di Torino Torino10138 Italy Roma00185 Italy
In robotics, visual Place Recognition is a continuous process that receives as input a video stream to produce a hypothesis of the robot's current position within a map of known places. This task requires robust, ... 详细信息
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