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Researcher profile

Martin Jägersand

2 papers in the PaperMetrix corpus

Publications

Papers by this author

  1. Weakly Supervised Few-shot Object Segmentation using Co-Attention with Visual and Semantic Embeddings

    2020

    Significant progress has been made recently in developing few-shot object segmentation methods. Learning is shown to be successful in few-shot segmentation settings, using pixel-level, scribbles and bounding box supervision. This paper takes another approach, i.e., …

  2. A Simple Decentralized Cross-Entropy Method

    2022 · arXiv (Cornell University)

    Cross-Entropy Method (CEM) is commonly used for planning in model-based reinforcement learning (MBRL) where a centralized approach is typically utilized to update the sampling distribution based on only the top-$k$ operation's results on samples. In …