Tag: Vision-Language Models
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ChartNet: Large Multimodal Dataset for Chart Understanding
Discover ChartNet, a 1.5M-sample multimodal dataset enhancing AI chart comprehension with images, data, code, and QA for robust reasoning.
Aligning Semantic Hierarchies in Vision-Language Model Embeddings
Discover methods to explain, verify, and align semantic hierarchies in vision-language model embeddings for improved interpretability and performance.
Edge Reliability Challenges in Compressed Vision-Language Models
Explore failure modes of compressed vision-language models under visual corruption and their impact on edge deployment reliability.
Chinese Handwriting Assessment Using Vision-Language Models
Leverage vision-language models for advanced Chinese handwriting assessment with multi-level feedback to improve learners' writing skills effectively.
Contextual Inference from Single Objects in Vision-Language AI
Explore how vision-language models infer scene context from single objects, enhancing AI robustness and human-like perception accuracy.