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cs.CV2026
Diffusion Meta-Prompting and Steering for Generalizable Foundation Model Adaptation
Deepak Sridhar, Yi Li, Kartikeya Bhardwaj +7
Prompt learning is a popular method for adapting foundation models, but learned prompts are typically task-specific and fail to generalize to new classes, domains, or compositions…
cs.CV2026
MED-DSLC: Multi-Expert-Domain Classification via Domain Supervision and Logit Calibration
Zheng Zeng, Deepak Sridhar, Nuno Vasconcelos
Vision-language models (VLMs) such as CLIP enable zero-shot classification by comparing image features with text prompts in a shared embedding space. A fundamental property underly…