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FRAME: Factored Retrieval via Attribute Readouts for Object-Centric Scene Memory

Paper recorded by Signals 4 on 2026-09-08 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-08 on arXiv · recorded by Signals 4 on 2026-09-09

Category: cs.CV · 计算机视觉 · first seen 2026-09-09

Abstract

Language-guided robots need persistent scene memories to follow instructions, revisit objects, and resolve references to objects encountered over time. While much of language-guided scene-memory retrieval has emphasized spatial or relational references, many everyday object references specify objects by multiple persistent attributes, such as category, material, size, or surface appearance. We for

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#126 most recent of 237 cs.CV papers we have recorded · ↑ newer: Evolution of Multimodal Question Answering: From Modality-Adaptive Ext · ↓ older: Medical AI Encodes a "Feeling of Error": Verifying Cancer Segmentation
Cite this page: FRAME: Factored Retrieval via Attribute Readouts for Object-Centric Scene Memory: the #126 most recent of 237 cs.CV papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/frame-factored-retrieval-via-attribute-readouts-for-object-centric-scene-memory.html
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