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README.md
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@@ -75,8 +75,8 @@ InternVL 2.0 is a multimodal large language model series, featuring models of va
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| MVBench | - | - | - | 72.5 | 69.6 |
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| MMBench-Video<sub>8f</sub> | 1.62 | 1.53 | 1.30 | 1.32 | 1.37 |
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| 77 |
| MMBench-Video<sub>16f</sub> | 1.86 | 1.68 | 1.60 | 1.45 | 1.52 |
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| Video-MME<br>w/o subs | 71.9 | 59.9 | 75.0 | 61.2 |
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| Video-MME<br>w subs | 77.2 | 63.3 | 81.3 | 62.4 |
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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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@@ -495,8 +495,8 @@ 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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| 495 |
| MVBench | - | - | - | 72.5 | 69.6 |
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| 496 |
| MMBench-Video<sub>8f</sub> | 1.62 | 1.53 | 1.30 | 1.32 | 1.37 |
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| 497 |
| MMBench-Video<sub>16f</sub> | 1.86 | 1.68 | 1.60 | 1.45 | 1.52 |
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| 498 |
-
| Video-MME<br>w/o subs | 71.9 | 59.9 | 75.0 | 61.2 |
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| 499 |
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| Video-MME<br>w subs | 77.2 | 63.3 | 81.3 | 62.4 |
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| 500 |
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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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| 502 |
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| 75 |
| MVBench | - | - | - | 72.5 | 69.6 |
|
| 76 |
| MMBench-Video<sub>8f</sub> | 1.62 | 1.53 | 1.30 | 1.32 | 1.37 |
|
| 77 |
| MMBench-Video<sub>16f</sub> | 1.86 | 1.68 | 1.60 | 1.45 | 1.52 |
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| 78 |
+
| Video-MME<br>w/o subs | 71.9 | 59.9 | 75.0 | 61.2 | 61.2 |
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| 79 |
+
| Video-MME<br>w subs | 77.2 | 63.3 | 81.3 | 62.4 | 62.8 |
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| 80 |
|
| 81 |
- 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 |
|
|
|
|
| 495 |
| MVBench | - | - | - | 72.5 | 69.6 |
|
| 496 |
| MMBench-Video<sub>8f</sub> | 1.62 | 1.53 | 1.30 | 1.32 | 1.37 |
|
| 497 |
| MMBench-Video<sub>16f</sub> | 1.86 | 1.68 | 1.60 | 1.45 | 1.52 |
|
| 498 |
+
| Video-MME<br>w/o subs | 71.9 | 59.9 | 75.0 | 61.2 | 61.2 |
|
| 499 |
+
| Video-MME<br>w subs | 77.2 | 63.3 | 81.3 | 62.4 | 62.8 |
|
| 500 |
|
| 501 |
- 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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| 502 |
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