Prompting24
* *Prompting in Vision
* AAPL: Adding Attributes to Prompt Learning for Vision-Language Models
* Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets
* Enhancing Visual Question Answering through Question-Driven Image Captions as Prompts
* Low-Rank Few-Shot Adaptation of Vision-Language Models
* PointPrompt: A Multi-modal Prompting Dataset for Segment Anything Model
* Prompting Foundational Models for Omni-supervised Instance Segmentation
* Uncovering the Hidden Cost of Model Compression
* What Makes Multimodal In-Context Learning Work?
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