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OneSearch-VL: Unified Multimodal Deep Research Agent for Image and Video

Paper recorded by Signals 4 on 2026-10-08 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-08 on arXiv · recorded by Signals 4 on 2026-10-09

Category: cs.CV · 计算机视觉 · first seen 2026-10-09

Abstract

Single-image, multi-image, and video deep research require different visual operations but share a workflow of visual grounding, external retrieval, and fact composition. A key challenge is to preserve the dependencies linking localized visual anchors, entity relations, source-supported facts, and answer-producing operations. We introduce OneSearch-VL, a unified agent centered on the Visually Grou

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#315 most recent of 756 cs.CV papers we have recorded · ↑ newer: Pumpire: Unified Benchmark for Metric Distance Estimation · ↓ older: WorldCast: Distributed Multiplayer World Models
Cite this page: OneSearch-VL: Unified Multimodal Deep Research Agent for Image and Video: the #315 most recent of 756 cs.CV papers we have recorded (as of 2026-10-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/onesearch-vl-unified-multimodal-deep-research-agent-for-image-and-video.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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