notesum.ai
Published at December 4A Stitch in Time Saves Nine: Small VLM is a Precise Guidance for accelerating Large VLMs
cs.CV
Released Date: December 4, 2024
Authors: Wangbo Zhao1, Yizeng Han2, Jiasheng Tang2, Zhikai Li1, Yibing Song2, Kai Wang1, Zhangyang Wang3, Yang You1
Aff.: 1National University of Singapore; 2DAMO Academy, Alibaba Group; 3The University of Texas at Austin

| method | token | visual question answering | comprehensive benchmark | visual grounding | score | ||||||||
| ratio | TextVQA | ChartQA | DocVQA | GQA | SEED | MMBench | MM-Vet | MME | RC | RC+ | RC-g | ratio | |
| InternVL2-26B [7] | 100% | 82.45 | 84.92 | 92.14 | 64.89 | 76.78 | 83.46 | 64.00 | 2270 | 91.24 | 86.67 | 88.44 | 100.00% |
| InternVL2-2B [7] | 100% | 73.19 | 76.24 | 85.93 | 61.16 | 71.62 | 72.93 | 43.30 | 1878 | 82.26 | 73.53 | 77.55 | 87.25% |
| 26B w/ ToMe [2] | 64% | 80.22 | 76.24 | 79.51 | 64.49 | 75.60 | 82.74 | 60.10 | 2235 | 84.02 | 78.91 | 80.35 | 94.24% |
| 35% | 75.74 | 62.44 | 66.79 | 63.61 | 73.84 | 81.28 | 52.50 | 2178 | 71.08 | 64.97 | 68.08 | 85.20% | |
| 9% | 51.69 | 28.60 | 28.46 | 57.52 | 65.19 | 73.09 | 37.70 | 1933 | 20.33 | 17.74 | 19.36 | 54.28% | |
| 26B w/ FastV [5] | 64% | 82.26 | 85.08 | 92.20 | 64.80 | 76.81 | 83.24 | 63.20 | 2270 | 91.30 | 86.66 | 88.30 | 99.84% |
| 35% | 75.62 | 71.68 | 68.32 | 61.20 | 71.64 | 78.31 | 45.00 | 2140 | 85.06 | 77.61 | 81.39 | 88.28% | |
| 9% | 43.84 | 26.20 | 26.81 | 44.90 | 54.56 | 62.33 | 31.60 | 1799 | 19.65 | 16.66 | 17.22 | 46.99% | |
| 26B w/ SGP (ours) | 64% | 82.41 | 85.04 | 92.12 | 65.07 | 76.71 | 83.30 | 65.60 | 2259 | 91.07 | 86.71 | 88.05 | 100.14% |
| 35% | 81.97 | 81.68 | 91.14 | 64.62 | 75.72 | 82.17 | 63.20 | 2258 | 89.38 | 84.35 | 86.07 | 98.36% | |
| 9% | 78.98 | 72.96 | 87.26 | 62.10 | 72.23 | 75.56 | 52.10 | 2004 | 80.36 | 72.22 | 77.45 | 89.58% | |