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@@ -68,15 +68,15 @@ InternVL 2.0 is a multimodal large language model series, featuring models of va
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  ### Video Benchmarks
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- | Benchmark | GPT-4V | VILA-1.5 | LLaVA-NeXT-Video | InternVL-Chat-V1-5 | InternVL2-26B |
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- | :-------------------------: | :----: | :------: | :--------------: | :----------------: | :-----------: |
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- | Model Size | - | 34B | 34B | 25.5B | 25.5B |
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- | | | | | | |
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- | MVBench | - | - | - | 52.1 | 67.5 |
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- | MMBench-Video<sub>8f</sub> | 1.53 | - | - | 1.26 | 1.27 |
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- | MMBench-Video<sub>16f</sub> | 1.68 | - | - | 1.31 | 1.41 |
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- | Video-MME<br>w/o subs | 59.9 | 59.0 | 52.0 | 53.6 | 54.8 |
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- | Video-MME<br>w subs | 63.3 | 59.4 | 54.9 | 54.5 | 57.1 |
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  - We evaluate our models on MVBench and Video-MME by extracting 16 frames from each video, and each frame was resized to a 448x448 image.
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@@ -645,15 +645,15 @@ InternVL 2.0 是一个多模态大语言模型系列,包含各种规模的模
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  ### 视频相关评测
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- | 评测数据集 | GPT-4V | VILA-1.5 | LLaVA-NeXT-Video | InternVL-Chat-V1-5 | InternVL2-26B |
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- | :-------------------------: | :----: | :------: | :--------------: | :----------------: | :-----------: |
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- | 模型大小 | - | 34B | 34B | 25.5B | 25.5B |
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- | | | | | | |
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- | MVBench | - | - | - | 52.1 | 67.5 |
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- | MMBench-Video<sub>8f</sub> | 1.53 | - | - | 1.26 | 1.27 |
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- | MMBench-Video<sub>16f</sub> | 1.68 | - | - | 1.31 | 1.41 |
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- | Video-MME<br>w/o subs | 59.9 | 59.0 | 52.0 | 53.6 | 54.8 |
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- | Video-MME<br>w subs | 63.3 | 59.4 | 54.9 | 54.5 | 57.1 |
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  - 我们通过从每个视频中提取 16 帧来评估我们的模型在 MVBench 和 Video-MME 上的性能,每个视频帧被调整为 448x448 的图像。
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  ### Video Benchmarks
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+ | Benchmark | GPT-4V | LLaVA-NeXT-Video | InternVL-Chat-V1-5 | InternVL2-26B |
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+ | :-------------------------: | :----: | :--------------: | :----------------: | :-----------: |
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+ | Model Size | - | 34B | 25.5B | 25.5B |
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+ | | | | | |
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+ | MVBench | - | - | 52.1 | 67.5 |
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+ | MMBench-Video<sub>8f</sub> | 1.53 | - | 1.26 | 1.27 |
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+ | MMBench-Video<sub>16f</sub> | 1.68 | - | 1.31 | 1.41 |
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+ | Video-MME<br>w/o subs | 59.9 | 52.0 | 53.6 | 54.8 |
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+ | Video-MME<br>w subs | 63.3 | 54.9 | 54.5 | 57.1 |
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  - We evaluate our models on MVBench and Video-MME by extracting 16 frames from each video, and each frame was resized to a 448x448 image.
82
 
 
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  ### 视频相关评测
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+ | 评测数据集 | GPT-4V | LLaVA-NeXT-Video | InternVL-Chat-V1-5 | InternVL2-26B |
649
+ | :-------------------------: | :----: | :--------------: | :----------------: | :-----------: |
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+ | 模型大小 | - | 34B | 25.5B | 25.5B |
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+ | | | | | |
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+ | MVBench | - | - | 52.1 | 67.5 |
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+ | MMBench-Video<sub>8f</sub> | 1.53 | - | 1.26 | 1.27 |
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+ | MMBench-Video<sub>16f</sub> | 1.68 | - | 1.31 | 1.41 |
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+ | Video-MME<br>w/o subs | 59.9 | 52.0 | 53.6 | 54.8 |
656
+ | Video-MME<br>w subs | 63.3 | 54.9 | 54.5 | 57.1 |
657
 
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  - 我们通过从每个视频中提取 16 帧来评估我们的模型在 MVBench 和 Video-MME 上的性能,每个视频帧被调整为 448x448 的图像。
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