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ScanFocus framework enhances video grounding with coarse-to-fine approach

By PulseAugur Editorial · [2 sources] ·

Researchers have introduced ScanFocus, a new framework designed to improve Spatio-Temporal Video Grounding (STVG). This method addresses the challenge of balancing global context with precise object localization in videos, which current approaches often struggle with due to computational costs and temporal downsampling. ScanFocus employs a coarse-to-fine strategy, first performing a global scan to generate initial proposals and then refining these with a Semantic-Guided Temporal Aggregator (SGTA) to capture fine-grained details and rapid motion changes for accurate timestamp regression. Experiments on multiple benchmarks show ScanFocus outperforms existing methods. AI

IMPACT This new framework could improve the accuracy and efficiency of video analysis systems that rely on understanding object trajectories within video content.

RANK_REASON The cluster contains a research paper detailing a new framework for a specific AI task.

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

ScanFocus framework enhances video grounding with coarse-to-fine approach

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COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Kai Chen, Ming Dai, Wenxuan Cheng, Wankou Yang ·

    ScanFocus: A Coarse-to-Fine Framework for Spatio-Temporal Video Grounding

    arXiv:2607.13421v1 Announce Type: cross Abstract: Spatio-Temporal Video Grounding (STVG) aims to retrieve the visual trajectory of a specific object from a video stream as described by a natural language expression. However, most advanced methods struggle to balance global contex…

  2. arXiv cs.AI TIER_1 English(EN) · Wankou Yang ·

    ScanFocus: A Coarse-to-Fine Framework for Spatio-Temporal Video Grounding

    Spatio-Temporal Video Grounding (STVG) aims to retrieve the visual trajectory of a specific object from a video stream as described by a natural language expression. However, most advanced methods struggle to balance global context modeling with precise boundary localization. Due…

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