PlaceSeek: Human-Centered Geospatial Retrieval of Urban Outdoor Places via Semantic Grounding and Affective Alignment

arXiv:2608.24133 · cs.CV, cs.AI, cs.IR · Submitted 2026-08-25 · Read on arXiv

cs.CV, cs.AI, cs.IR

Submitted: 2026-08-25

Updated: 2026-08-25

Comments: Accepted as a Research Paper (short) at ACM SIGSPATIAL 2026. This arXiv version is the full version of the paper

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Grounding — 33× in this paper · explained in 3 episodes
• Alignment — 32× in this paper · explained in 1 episode
• Verification — 14× in this paper · explained in 2 episodes
• Affordance — 10× in this paper · explained in 1 episode
• Ablation — 7× in this paper · explained in 1 episode
• Semantic Grounding Module — 6× in this paper
• Affective Alignment Module — 5× in this paper
• Embeddings — 4× in this paper · explained in 2 episodes
• Perceptual Alignment — 4× in this paper · explained in 2 episodes
• Adaptation — 3× in this paper · explained in 1 episode
• RAG — 3× in this paper · explained in 3 episodes
• Ablation study — 2× in this paper · explained in 1 episode
• Annotator Agreement — 2× in this paper · explained in 1 episode
• Cosine Similarity — 2× in this paper · explained in 3 episodes
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Aggregation — 1× in this paper · explained in 1 episode
• Alignment Scores — 1× in this paper · explained in 1 episode
• Core — 1× in this paper · explained in 2 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Human-in-the-Loop — 1× in this paper · explained in 3 episodes
• LoRA Adapters — 1× in this paper · explained in 3 episodes
• MLLM-based Visual Question Answering — 1× in this paper
• Multi-Agent System — 1× in this paper · explained in 6 episodes
• Scaling Laws — 1× in this paper · explained in 4 episodes

Sources

• Qwen3-VL Technical Report
• Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection
• GPT-4o System Card
• EVA-CLIP: Improved Training Techniques for CLIP at Scale
• Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions

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