arXiv AI September 7, 2026 By Bahar Uddin Mahmud, Sumit Barua, Guan Yue Hong, Ajay Gupta, Hexu Liu

Commonsense Reasoning in Computer Vision: Foundations, Recent Advancements, and Future Directions

The paper surveys how commonsense reasoning is being integrated into computer vision, moving beyond traditional CNNs that only detect objects. It reviews methods that use knowledge graphs, scene graphs, neuro-symbolic models, and transformers to add contextual understanding, thereby improving object recognition and spatial reasoning. The authors also discuss current limitations such as dataset bias and knowledge gaps, and propose future research directions in cross‑modal reasoning, scalable knowledge injection, and hybrid architectures.

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arXiv AI

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arXiv AI

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arXiv AI

Sep 10

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A Study of Commonsense Reasoning over Visual Object Properties

Unleashing Multimodal Large Language Models for Training-free HOI Detection in the Wild

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ViSR-KGC: Visual Subgraph Reasoning with Vision-Language Models for Multimodal Knowledge Graph Completion

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