P3T introduces point-level and text prompters plus a prototypical loss to enable efficient, generalizable adaptation of 3D VLMs without full fine-tuning.
Maple: Multi-modal prompt learning,
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GAPL anchors text prompts to second-order Gram matrix statistics to improve vision-language model adaptation across domains.
citing papers explorer
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P3T: Prototypical Point-level Prompt Tuning with Enhanced Generalization for 3D Vision-Language Models
P3T introduces point-level and text prompters plus a prototypical loss to enable efficient, generalizable adaptation of 3D VLMs without full fine-tuning.
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Gram-Anchored Prompt Learning for Vision-Language Models via Second-Order Statistics
GAPL anchors text prompts to second-order Gram matrix statistics to improve vision-language model adaptation across domains.