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Models/InternVL-G

InternVL-G

Reported on 18 benchmarks across 2 tasks · 1 paper · 3 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Miscellaneous12 results

Image Retrieval with Multi-Modal QueryonFlickr30k
Image-to-text R@1· 2023-12-21
95.7
best: 98.8 (X2-VLM (large))
InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks arXiv:2312.14238
Image Retrieval with Multi-Modal QueryonFlickr30k
Image-to-text R@10· 2023-12-21
99.9
best: 100 (X2-VLM (large))
InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks arXiv:2312.14238
Image Retrieval with Multi-Modal QueryonFlickr30k
Image-to-text R@5· 2023-12-21
99.7
best: 100 (X2-VLM (large))
InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks arXiv:2312.14238
Image Retrieval with Multi-Modal QueryonFlickr30k
Text-to-image R@1· 2023-12-21
85
best: 93.3 (ERNIE-ViL 2.0)
InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks arXiv:2312.14238
Image Retrieval with Multi-Modal QueryonFlickr30k
Text-to-image R@10· 2023-12-21
98.6
best: 99.8 (ERNIE-ViL 2.0)
InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks arXiv:2312.14238
Image Retrieval with Multi-Modal QueryonFlickr30k
Text-to-image R@5· 2023-12-21
97
best: 99.5 (M2-Encoder)
InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks arXiv:2312.14238
Image Retrieval with Multi-Modal QueryonCOCO 2014
Image-to-text R@1· 2023-12-21
74.9
best: 84.8 (BEiT-3)
InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks arXiv:2312.14238
Image Retrieval with Multi-Modal QueryonCOCO 2014
Image-to-text R@10· 2023-12-21
95.2
best: 98.5 (X2-VLM (large))
InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks arXiv:2312.14238
Image Retrieval with Multi-Modal QueryonCOCO 2014
Image-to-text R@5· 2023-12-21
91.3
best: 96.5 (X2-VLM (large))
InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks arXiv:2312.14238
Image Retrieval with Multi-Modal QueryonCOCO 2014
Text-to-image R@1· 2023-12-21
58.6
best: 68 (VAST)
InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks arXiv:2312.14238
Image Retrieval with Multi-Modal QueryonCOCO 2014
Text-to-image R@10· 2023-12-21
88
best: 92.8 (VAST)
InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks arXiv:2312.14238
Image Retrieval with Multi-Modal QueryonCOCO 2014
Text-to-image R@5· 2023-12-21
81.3
best: 92.8 (BEiT-3)
InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks arXiv:2312.14238

Computer Vision6 results

Zero-Shot Video RetrievalonMSR-VTT-full
text-to-video R@1· uses extra data· 2023-12-21
46.3
SOTA
InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks arXiv:2312.14238
Zero-Shot Video RetrievalonMSR-VTT-full
text-to-video R@10· uses extra data· 2023-12-21
79.6
SOTA
InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks arXiv:2312.14238
Zero-Shot Video RetrievalonMSR-VTT-full
text-to-video R@5· uses extra data· 2023-12-21
70.5
SOTA
InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks arXiv:2312.14238
Zero-Shot Video RetrievalonMSR-VTT-full
video-to-text R@1· uses extra data· 2023-12-21
42.4
best: 64.7 (VideoCoCa)
InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks arXiv:2312.14238
Zero-Shot Video RetrievalonMSR-VTT-full
video-to-text R@10· uses extra data· 2023-12-21
75.4
best: 91.4 (VideoCoCa)
InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks arXiv:2312.14238
Zero-Shot Video RetrievalonMSR-VTT-full
video-to-text R@5· uses extra data· 2023-12-21
65.9
best: 85.2 (VideoCoCa)
InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks arXiv:2312.14238