VCN-Bench: A Video-Contextualized Navigation Benchmark for Spatial Reasoning over Prior Visual Experience
cs.AI
Submitted: 2026-09-28
Updated: 2026-09-28
Code: https://github.com/siqiZ805/VCN-Bench
Terminology
Sources
- Multimodal Spatial Reasoning in the Large Model Era: A Survey and Benchmarks
- Qwen-VLA: Unifying Vision-Language-Action Modeling across Tasks, Environments, and Robot Embodiments
- From Flatland to Space: Teaching Vision-Language Models to Perceive and Reason in 3D
- MMSI-Bench: A Benchmark for Multi-Image Spatial Intelligence
- MMSI-Video-Bench: A Holistic Benchmark for Video-Based Spatial Intelligence
- Cambrian-S: Towards Spatial Supersensing in Video
- ESI-Bench: Towards Embodied Spatial Intelligence that Closes the Perception-Action Loop
- Multi-SpatialMLLM: Multi-Frame Spatial Understanding with Multi-Modal Large Language Models
- $NavA^3$: Understanding Any Instruction, Navigating Anywhere, Finding Anything
- OctoNav: Towards Generalist Embodied Navigation
- VL-LN Bench: Towards Long-horizon Goal-oriented Navigation with Active Dialogs
- General Scene Adaptation for Vision-and-Language Navigation
- Ground Slow, Move Fast: A Dual-System Foundation Model for Generalizable Vision-and-Language Navigation
- InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency
- DeepSeek-V4.1-Flash: Pushing the Limits of KV Cache Compression
- Qwen3-VL Technical Report
- Qwen2.5 Technical Report
- DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
- GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning
- Open-Nav: Exploring Zero-Shot Vision-and-Language Navigation in Continuous Environment with Open-Source LLMs
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