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  1. Home
  2. Signal Canvas
  3. HORNet: Task-Guided Frame Selection for Video Question Answe
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HORNet: Task-Guided Frame Selection for Video Question Answering with Vision-Language Models

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Viability
0.0/10

Compared to this week’s papers

Evidence Receipt

Freshness: 2026-04-02T02:30:40.136932+00:00

Claims: 0

References: 36

Proof: pending

Distribution: unknown

Source paper: HORNet: Task-Guided Frame Selection for Video Question Answering with Vision-Language Models

PDF: https://arxiv.org/pdf/2603.18850v1

Repository: https://github.com/ostadabbas/HORNet

First buyer signal: unknown

Distribution channel: unknown

Last proof check: 2026-03-20T21:29:16.745292+00:00

Starting…

Dimensions overall score 7.0

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Last commit
3/20/2026
Forks
0
Open repository

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Prior Work
HiMu: Hierarchical Multimodal Frame Selection for Long Video Question Answering
Score 7.0stable
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GridVAD: Open-Set Video Anomaly Detection via Spatial Reasoning over Stratified Frame Grids
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Prior Work
Query-Conditioned Evidential Keyframe Sampling for MLLM-Based Long-Form Video Understanding
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Higher Viability
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Trajectory-Diversity-Driven Robust Vision-and-Language Navigation
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Competing Approach
Learning Question-Aware Keyframe Selection with Synthetic Supervision for Video Question Answering
Score 7.0stable
Competing Approach
STRIVE: Structured Spatiotemporal Exploration for Reinforcement Learning in Video Question Answering
Score 7.0stable

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