Understanding the Fine-Grained Knowledge Capabilities of Vision-Language Models | ScienceToStartup | ScienceToStartup

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References (45)

[1]

Qwen2.5 Technical Report

2024Qwen An Yang, Baosong Yang et al.

[2]

Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

2024Peng Wang, Shuai Bai et al.

[3]

CogVLM2: Visual Language Models for Image and Video Understanding

Founder's Pitch

"Enhanced fine-grained visual understanding for vision-language models through improved vision encoders and pretraining methods."

Vision-Language Models•Score: 4•View PDF ↗

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Understanding the Fine-Grained Knowledge Capabilities of Vision-Language Models

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References (45)

Founder's Pitch

"Enhanced fine-grained visual understanding for vision-language models through improved vision encoders and pretraining methods."

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Understanding the Fine-Grained Knowledge Capabilities of Vision-Language Models

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References (45)

Founder's Pitch

"Enhanced fine-grained visual understanding for vision-language models through improved vision encoders and pretraining methods."

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