Benchmarking Vision-Language Models on Synapse Detection and Proofreading in Connectomics

arXiv:2609.36492 · cs.CV, cs.AI, cs.LG · Submitted 2026-09-29 · Read on arXiv

cs.CV, cs.AI, cs.LG

Submitted: 2026-09-29

Updated: 2026-09-29

Terminology

• Accuracy — 8× in this paper · explained in 1 episode
• Benchmark — 7× in this paper · explained in 2 episodes
• Adaptation — 2× in this paper · explained in 1 episode
• Benchmarking — 2× in this paper · explained in 3 episodes
• Conference on Computer Vision and Pattern Recognition — 2× in this paper
• Vision-Language Models (VLMs) — 2× in this paper · explained in 6 episodes
• In-Context Learning — 1× in this paper · explained in 4 episodes
• Trace — 1× in this paper · explained in 2 episodes

Sources

• Superhuman Accuracy on the SNEMI3D Connectomics Challenge
• ConnectomeBench2: A Unified Benchmark for Automated Connectomic Proofreading
• Qwen2.5-VL Technical Report
• Qwen3-VL Technical Report
• InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models
• Gemma 4 Technical Report
• DINOv2: Learning Robust Visual Features without Supervision

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