arXiv Computer Vision
Grounding Isn't Knowing: Do VLMs Need Object Localization for Spatial Reasoning?
Read the original on arXiv Computer Vision →The Flow has not summarised this story yet — read it at arXiv Computer Vision.
Related stories
Hugging Face Trending Papers
Aug 24
Grounding Isn't Knowing: Do VLMs Need Object Localization for Spatial Reasoning?
Vision-language models (VLMs) can answer spatial questions, yet the mechanisms connecting object grounding to spatial reasoning remain poorly understood. It is underexplored whether spatial reasoning...
arXiv AI
Jun 16
Thinking with Visual Grounding
arXiv:2606. 16122v1 Announce Type: new Abstract: Visual thinking should not only sound right; it should show its evidence.
arXiv Machine Learning
Jun 19
Do Vision-Language Models Understand 3D Scenes or Just Catalogue Objects?
arXiv:2605. 20448v2 Announce Type: replace-cross Abstract: Vision-language models reliably name objects in a scene, but do they represent the 3D layout those objects inhabit?
arXiv Machine Learning
Jun 8
The Dual Mechanisms of Spatial Variable Binding in Vision-Language Models
arXiv:2603. 22278v2 Announce Type: replace-cross Abstract: Many multimodal tasks, such as image captioning and visual question answering, require vision-language models (VLMs) to bind objects with their properties and spatial relations.
arXiv AI
Jun 3
Imaginative Perception Tokens Enhance Spatial Reasoning in Multimodal Language Models
arXiv:2606. 03988v1 Announce Type: new Abstract: Vision language models (VLMs) excel at many tasks but still struggle with spatial reasoning when critical information is not directly observable.
arXiv AI
Jun 17
Reinforcing Dual-Path Reasoning in Spatial Vision Language Models
arXiv:2606. 17539v1 Announce Type: cross Abstract: Spatial VLMs have made substantial progress in geometric perception, yet complex spatial reasoning requiring multi-step inference over depth, distance, and scene relations remains challenging.