CCCaption: Dual-Reward Reinforcement Learning for Complete and Correct Image Captioning | ScienceToStartup | ScienceToStartup

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References (54)

[1]

TrafficInternVL: Spatially-Guided Fine-Tuning with Caption Refinement for Fine-Grained Traffic Safety Captioning and Visual Question Answering

2025Sasin Phimsiri, Sarut Sunpawatr et al.

[2]

CapRL: Stimulating Dense Image Caption Capabilities via Reinforcement Learning

2025Long Xing, Xiao-wen Dong et al.

[3]

InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency

Founder's Pitch

"Develop enhanced image captioning models using dual-reward reinforcement learning for more complete and correct descriptions."

Image Captioning•Score: 6•View PDF ↗

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7.5

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CCCaption: Dual-Reward Reinforcement Learning for Complete and Correct Image Captioning

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References (54)

Founder's Pitch

"Develop enhanced image captioning models using dual-reward reinforcement learning for more complete and correct descriptions."

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CCCaption: Dual-Reward Reinforcement Learning for Complete and Correct Image Captioning

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References (54)

Founder's Pitch

"Develop enhanced image captioning models using dual-reward reinforcement learning for more complete and correct descriptions."

Commercial Viability Breakdown

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