Research map / Vision-language and multimodal / CLIP and zero-shot
HiMo-CLIP: Modeling Semantic Hierarchy and Monotonicity in Vision-Language Alignment
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Closest papers by meaning
- GOAL: Global-local Object Alignment Learning (CVPR 2025 · similarity 0.91)
- Enhancing Compositional Reasoning in CLIP via Reconstruction and Alignment of Text Descriptions (NeurIPS 2025 · similarity 0.89)
- Unlocking Fine-Grained Perception in CLIP via Structurally-Aware Latent Masked Modeling (NeurIPS 2026 · similarity 0.89)
- SmartCLIP: Modular Vision-language Alignment with Identification Guarantees (CVPR 2025 · similarity 0.89)
- Aligning Forest and Trees in Images & Long Captions for Visually Grounded Understanding (NeurIPS 2026 · similarity 0.89)
- FineLIP: Extending CLIP's Reach via Fine-Grained Alignment with Longer Text Inputs (CVPR 2025 · similarity 0.88)
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