Seeing Parts, Reasoning about Worlds: Visual Inference under Partial Observation

arXiv:2609.32456 · cs.CV, cs.AI · Submitted 2026-09-26 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-09-26

Updated: 2026-09-26

Terminology

• Accuracy — 23× in this paper · explained in 1 episode
• Benchmark — 12× in this paper · explained in 2 episodes
• Ablation — 11× in this paper · explained in 1 episode
• Conference on Computer Vision and Pattern Recognition — 10× in this paper
• Redundancy — 9× in this paper · explained in 2 episodes
• Embeddings — 5× in this paper · explained in 2 episodes
• Transformer — 4× in this paper · explained in 2 episodes
• Grounding — 3× in this paper · explained in 3 episodes
• Instance Segmentation — 3× in this paper · explained in 3 episodes
• Instruction Tuning — 3× in this paper · explained in 2 episodes
• Vision-language models — 3× in this paper · explained in 2 episodes
• World Model — 3× in this paper · explained in 7 episodes
• Abstention — 2× in this paper · explained in 1 episode
• Active Perception — 2× in this paper · explained in 2 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• IEEE International Conference on Computer Vision — 2× in this paper
• Representation Learning — 2× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Calibration — 1× in this paper · explained in 7 episodes
• Core — 1× in this paper · explained in 2 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Deep Reinforcement Learning — 1× in this paper · explained in 2 episodes
• EMMA — 1× in this paper · explained in 2 episodes
• Embodied AI — 1× in this paper · explained in 2 episodes
• Few-Shot Learning — 1× in this paper · explained in 4 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Latent Dynamics — 1× in this paper · explained in 2 episodes
• Optimal Transport — 1× in this paper · explained in 5 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Structured Reasoning — 1× in this paper · explained in 3 episodes
• Trace — 1× in this paper · explained in 2 episodes

Sources

• LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models
• Qwen3-VL Technical Report
• Visual Entailment: A Novel Task for Fine-Grained Image Understanding
• Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond
• Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
• World Models

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