VESSI - VLM-Enhanced Support for Surveillance and Investigations

arXiv:2610.11674 · cs.CV · Submitted 2026-10-08 · Read on arXiv

cs.CV

Submitted: 2026-10-08

Updated: 2026-10-08

Code: https://github.com/SvrCvs/vlm_surv

Terminology

• Hallucination — 36× in this paper · explained in 4 episodes
• Transformer — 15× in this paper · explained in 2 episodes
• Benchmark — 13× in this paper · explained in 2 episodes
• Vision-Language Model — 11× in this paper
• Computer Vision and Pattern Recognition — 9× in this paper
• Vision-language models — 8× in this paper · explained in 2 episodes
• Composite Model Utility Score — 6× in this paper
• Benchmarking — 5× in this paper · explained in 4 episodes
• Association for Computational Linguistics — 4× in this paper
• Core — 4× in this paper · explained in 2 episodes
• Grounding — 4× in this paper · explained in 3 episodes
• Consistency — 3× in this paper · explained in 3 episodes
• Fine-Tuning — 3× in this paper · explained in 5 episodes
• Instruction Tuning — 3× in this paper · explained in 2 episodes
• Modularity — 3× in this paper · explained in 9 episodes
• Robustness — 3× in this paper · explained in 5 episodes
• Alignment — 2× in this paper · explained in 1 episode
• Security Operations Center — 2× in this paper
• Winter Conference on Applications of Computer Vision — 2× in this paper
• Abstention — 1× in this paper · explained in 1 episode
• Accuracy — 1× in this paper · explained in 1 episode
• Adaptability — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Comma Separated Values — 1× in this paper
• Edge Devices — 1× in this paper · explained in 2 episodes
• GB of Video Random Access Memory — 1× in this paper
• Graphics Processing Unit — 1× in this paper
• Hallucination Detection — 1× in this paper · explained in 2 episodes
• Large Language and Vision Assistant — 1× in this paper
• Modular Architecture — 1× in this paper · explained in 4 episodes
• Segment Anything Model — 1× in this paper
• Segment Anything Model (SAM) — 1× in this paper · explained in 2 episodes
• Semantic Understanding — 1× in this paper · explained in 2 episodes
• Sparse Attention — 1× in this paper · explained in 5 episodes
• Understanding Crime Activities — 1× in this paper
• Unmanned Aerial Vehicle — 1× in this paper
• Video and Image Retrieval and Analysis Tool — 1× in this paper
• Vision-Language Model (VLM) — 1× in this paper · explained in 3 episodes
• Visual Grounding — 1× in this paper · explained in 2 episodes
• Which State-of-the-Art — 1× in this paper

Sources

• Learning Transferable Visual Models From Natural Language Supervision
• Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena
• Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
• SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features

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