Ambient @ EgoProactive 2026 : Proactive Egocentric Assistance with Visually Grounded Supervision

• 类型：arxiv
• 标识：2609.07099
• 链接：https://arxiv.org/abs/2609.07099
• 主分类：multimodal
• 形态：method
• 被引：0
• 被引来源：Semantic Scholar + OpenAlex
• S2被引：0
• OpenAlex被引：0
• 影响力被引：0
• TLDR：This submission to the EgoProactive track of the ECCV 2026 Wearable AI Challenge is presented, which ranked first in the large-model division and second in the<=2B division, suggesting that visual grounding is more important than annotation volume for this task.
• OpenAlex ID：W7212020375
• OpenAlex DOI：10.48550/arxiv.2609.07099
• DOI：10.48550/arxiv.2609.07099
• DOI来源：OpenAlex
• 开放获取：green
• 开放获取链接：https://arxiv.org/pdf/2609.07099
• OpenAlex更新：2026-09-16
• 待LLM分类：否
• 标题中文：Ambient @ EgoProactive 2026 : Proactive Egocentric Assistance with Visually Grounded Supervision
• TLDR中文：该工作提交于 ECCV 2026 Wearable AI Challenge 的 EgoProactive 赛道，在大模型组排名第一、≤2B 组排名第二，表明对当前任务而言视觉定位比标注量更为重要。
• 来源文件：
• /inbox/tom/_candidates/2026-09-15-agent-rag-longcontext-candidates.json
• [OpenAlex backfill]
• [S2 enrich]