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ECHO: Embodied Camera Observations of Human Object Carrying

Paper recorded by Signals 4 on 2026-10-07 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-07 on arXiv · recorded by Signals 4 on 2026-10-08

Category: cs.CV · 计算机视觉 · first seen 2026-10-08

Abstract

Embodied and assistive agents must do more than recognize objects: they must reason about where an object belongs given the layout of an environment and the habits of the people who live in it. Progress on this problem has been limited, in part because no dedicated benchmark or dataset exists to define and evaluate it. Existing RGB-D scan datasets reconstruct static rooms without human activity, w

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#326 most recent of 756 cs.CV papers we have recorded · ↑ newer: MemoCare: An Interactive Multimodal Mobile System for Automated Cognit · ↓ older: Detecting Adversarial Images through Response Profiles of Vision-Langu
Cite this page: ECHO: Embodied Camera Observations of Human Object Carrying: the #326 most recent of 756 cs.CV papers we have recorded (as of 2026-10-07). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/echo-embodied-camera-observations-of-human-object-carrying.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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