Florence-VL: Enhancing Vision-Language Models with Generative Vision Encoder and Depth-Breadth Fusion

Documenti analoghi

• Penguin-VL: Exploring the Efficiency Limits of VLM with LLM-based Vision Encoders
  di: Zhang, Boqiang, et al.
  Pubblicazione: (2026)
• CoME-VL: Scaling Complementary Multi-Encoder Vision-Language Learning
  di: Deria, Ankan, et al.
  Pubblicazione: (2026)
• ADEM-VL: Adaptive and Embedded Fusion for Efficient Vision-Language Tuning
  di: Hao, Zhiwei, et al.
  Pubblicazione: (2024)
• Qianfan-VL: Domain-Enhanced Universal Vision-Language Models
  di: Dong, Daxiang, et al.
  Pubblicazione: (2025)
• Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement
  di: Wang, Xiyao, et al.
  Pubblicazione: (2024)