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English(EN) SEAOTTER: Sensor Embedded Autoencoding with One-Time Transcode for Efficient Reconstruction

SEAOTTER框架通过JPEG兼容性提升机器人压缩性能

研究人员开发了SEAOTTER,一个专为云机器人设计的、解决带宽和计算限制的新型压缩框架。该系统将学习到的潜在表示与广泛兼容的JPEG格式相结合,克服了某些高级编解码器的高解码成本和专有格式问题。SEAOTTER在200:1的压缩比下,实现了比AVIF快7倍的编码速度和3.5倍的解码速度,同时还将ImageNet准确率提高了8%。 AI

影响 SEAOTTER的效率提升有望在资源受限的机器人系统中实现更复杂的AI感知和控制。

排序理由 这是一篇描述新技??框架的研究论文。

在 arXiv cs.LG 阅读 →

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SEAOTTER框架通过JPEG兼容性提升机器人压缩性能

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报道来源 [3]

  1. arXiv cs.LG TIER_1 English(EN) · Dan Jacobellis, Neeraja J. Yadwadkar ·

    SEAOTTER:一种用于高效重建的嵌入式传感器一次性转码自动编码器

    arXiv:2606.03940v1 Announce Type: cross Abstract: In robotics systems, vast amounts of visual data are easily captured at high resolution using low-cost, low-power hardware. Yet, limited bandwidth and on-device compute resources prevent full utilization when transmitted via conve…

  2. arXiv cs.LG TIER_1 English(EN) · Neeraja J. Yadwadkar ·

    SEAOTTER:用于高效重建的嵌入式传感器一次性转码自动编码

    In robotics systems, vast amounts of visual data are easily captured at high resolution using low-cost, low-power hardware. Yet, limited bandwidth and on-device compute resources prevent full utilization when transmitted via conventional codecs like JPEG/MPEG. Newer codecs, like …

  3. Hugging Face Daily Papers TIER_1 English(EN) ·

    SEAOTTER:用于高效重建的嵌入式传感器一次性转码自动编码

    A compression framework for cloud robotics combines learned latent representations with standard JPEG compatibility to achieve faster encoding and decoding while maintaining high perceptual quality.