Driving Video Retrieval for Complex Queries with Structured Grounding

arXiv:2606.09109 · cs.CV, cs.IR, cs.LG · Submitted 2026-06-08 · Read on arXiv

cs.CV, cs.IR, cs.LG

Submitted: 2026-06-08

Updated: 2026-09-26

Terminology

• Calibration — 22× in this paper · explained in 7 episodes
• Grounding — 19× in this paper · explained in 3 episodes
• Benchmark — 16× in this paper · explained in 2 episodes
• Adaptation — 10× in this paper · explained in 1 episode
• Embeddings — 8× in this paper · explained in 2 episodes
• Accuracy — 7× in this paper · explained in 1 episode
• Failure Modes — 6× in this paper · explained in 3 episodes
• Ablation — 5× in this paper · explained in 1 episode
• Alignment — 4× in this paper · explained in 1 episode
• RAG — 4× in this paper · explained in 3 episodes
• Adam — 3× in this paper · explained in 2 episodes
• Admissibility — 3× in this paper · explained in 2 episodes
• Conference on Computer Vision and Pattern Recognition — 3× in this paper
• European Conference on Computer Vision — 3× in this paper
• Aggregation — 2× in this paper · explained in 1 episode
• Generalizability — 2× in this paper · explained in 6 episodes
• CVF International Conference on Computer Vision — 1× in this paper
• Consistency — 1× in this paper · explained in 3 episodes
• Contrastive Learning — 1× in this paper · explained in 5 episodes
• Decode — 1× in this paper · explained in 2 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Digital Twin — 1× in this paper · explained in 4 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• In International Conference on Learning Representations — 1× in this paper
• Interpretability — 1× in this paper · explained in 15 episodes
• Provenance — 1× in this paper · explained in 3 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Self-consistency — 1× in this paper · explained in 2 episodes
• Semantic Understanding — 1× in this paper · explained in 2 episodes
• Temporal Reasoning — 1× in this paper · explained in 2 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes
• Verification — 1× in this paper · explained in 2 episodes
• Vision-Language Model (VLM) — 1× in this paper · explained in 3 episodes
• World Model — 1× in this paper · explained in 7 episodes

Sources

• SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features
• Qwen3-VL-Embedding and Qwen3-VL-Reranker: A Unified Framework for State-of-the-Art Multimodal Retrieval and Ranking
• InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency
• VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs
• Qwen2.5-VL Technical Report
• Segment Anything

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