inclusionAI Releases ZoomGain Models, Benchmark and RL Data
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inclusionAI released the ZoomGain arXiv paper, the ZoomGainBench evaluation benchmark, an RL training dataset, and ZoomGain-4B and ZoomGain-9B vision-language model checkpoints. The method mines global-to-zoom perception gaps to build fine-grained visual supervision, and inclusionAI says ZoomGain-9B reached superior performance on multiple fine-grained and general perception benchmarks. ZoomGainBench contains 1,000 questions over 941 images, and the RL dataset holds 9,000 training records drawn from 7,713 source images. The best of 28 models scored 61.08 on the benchmark, according to inclusionAI. The code is released under the Apache License 2.0, while the bundled training framework keeps its upstream license and notices. Users may need to run hf auth login if the Hugging Face repositories require authenticated access, and the terms of each dataset and checkpoint are set out on their Hugging Face cards.
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- inclusionAI ModelsinclusionAI Releases ZoomGain-9B and ZoomGain-4B Models with ZoomGainBench and RL Training Data
inclusionAI released the ZoomGain-9B and ZoomGain-4B vision-language model checkpoints, alongside the ZoomGainBench evaluation benchmark and ZoomGain RL training data. ZoomGain mines global-to-zoom perception gaps to build fine-grained visual supervision, and ZoomGain-9B reached superior performance on multiple fine-grained and general perception benchmarks. ZoomGainBench contains 1,000 questions over 941 images, while the RL dataset holds 9,000 training records and 7,713 source images.
- inclusionAI ModelsinclusionAI Releases ZoomGain-4B and ZoomGain-9B with ZoomGainBench and RL Training Data
inclusionAI released the arXiv paper, ZoomGainBench evaluation benchmark, RL training dataset, and ZoomGain-4B/ZoomGain-9B model checkpoints. The best of 28 models scored 61.08 on ZoomGainBench, while ZoomGain-9B reached superior performance on multiple fine-grained and general perception benchmarks. ZoomGain mines global-to-zoom perception gaps to build fine-grained visual supervision for vision-language models.
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