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New pipeline uses Qwen3.5-27B for reason-aware video retrieval

By PulseAugur Editorial · [2 sources] ·

Researchers have developed a novel zero-shot pipeline for reason-aware composed video retrieval, named CoVR-R. This system utilizes the Qwen3.5-27B model to infer target videos based on edit instructions applied to reference videos. The approach combines dense retrieval with a TF-IDF branch, achieving strong performance on validation and test splits with metrics like R@1 reaching up to 89.73. AI

IMPACT Introduces a novel approach to video retrieval that leverages reasoning capabilities, potentially improving search accuracy for complex video edits.

RANK_REASON This is a research paper detailing a new method and model for video retrieval.

Read on arXiv cs.CV →

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

COVERAGE [2]

  1. arXiv cs.CV TIER_1 English(EN) · DongQing Liu, MengShi Qi, HongWei Ji ·

    Reason-Then-Retrieve for CoVR-R with Structured Edit Prompts and Dense-Sparse Fusion

    arXiv:2606.02450v1 Announce Type: new Abstract: CoVR-R studies reason-aware composed video retrieval: given a reference video and an edit instruction, the system must retrieve the target video that satisfies the edit. The main difficulty is that the target is not described direct…

  2. arXiv cs.CV TIER_1 English(EN) · HongWei Ji ·

    Reason-Then-Retrieve for CoVR-R with Structured Edit Prompts and Dense-Sparse Fusion

    CoVR-R studies reason-aware composed video retrieval: given a reference video and an edit instruction, the system must retrieve the target video that satisfies the edit. The main difficulty is that the target is not described directly; it must be inferred from fine-grained change…

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