Neighborhood re-ranking via Hungarian matching and query-conditioned local steering improve CLIP retrieval on attribute-binding and compositional tasks by addressing local geometric inconsistencies.
Finelip: Extending clip’s reach via fine-grained alignment with longer text inputs.arXiv preprint arXiv:2504.01916
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
years
2026 3representative citing papers
ROGLE introduces automated pseudo region-sentence pairs via RSM and multi-granular learning to boost fine-grained alignment in text-based person search, plus the P-VLG benchmark with over 100k annotated regions.
citing papers explorer
-
Geometry-Aware CLIP Retrieval via Local Cross-Modal Alignment and Steering
Neighborhood re-ranking via Hungarian matching and query-conditioned local steering improve CLIP retrieval on attribute-binding and compositional tasks by addressing local geometric inconsistencies.
-
ROGLE: Robust Global-Local Alignment with Automated Region Supervision for Text-Based Person Search
ROGLE introduces automated pseudo region-sentence pairs via RSM and multi-granular learning to boost fine-grained alignment in text-based person search, plus the P-VLG benchmark with over 100k annotated regions.
- Organizational Control Layer: Governance Infrastructure at the Execution Boundary of LLM Agent Systems