Tasks SotA Datasets Papers Methods Submit About

Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable Benchmarks All SotA Datasets Papers Methods

Community

Submit Results About

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/OmniVL (14M)

OmniVL (14M)

Reported on 36 benchmarks across 3 tasks · 1 paper · 3 SOTA

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

Miscellaneous24 results

Image Retrieval with Multi-Modal QueryonCOCO 2014
Text-to-image R@10· uses extra data· 2022-09-15
91.6
best: 92.8 (VAST)
SOTA
OmniVL:One Foundation Model for Image-Language and Video-Language Tasks arXiv:2209.07526
Cross-Modal Information RetrievalonCOCO 2014
Text-to-image R@10· uses extra data· 2022-09-15
91.6
best: 92.8 (VAST)
SOTA
OmniVL:One Foundation Model for Image-Language and Video-Language Tasks arXiv:2209.07526
Image Retrieval with Multi-Modal QueryonFlickr30k
Image-to-text R@1· uses extra data· 2022-09-15
97.3
best: 98.8 (X2-VLM (large))
OmniVL:One Foundation Model for Image-Language and Video-Language Tasks arXiv:2209.07526
Image Retrieval with Multi-Modal QueryonFlickr30k
Image-to-text R@10· uses extra data· 2022-09-15
100
OmniVL:One Foundation Model for Image-Language and Video-Language Tasks arXiv:2209.07526
Image Retrieval with Multi-Modal QueryonFlickr30k
Image-to-text R@5· uses extra data· 2022-09-15
99.9
best: 100 (X2-VLM (large))
OmniVL:One Foundation Model for Image-Language and Video-Language Tasks arXiv:2209.07526
Image Retrieval with Multi-Modal QueryonFlickr30k
Text-to-image R@1· uses extra data· 2022-09-15
87.9
best: 93.3 (ERNIE-ViL 2.0)
OmniVL:One Foundation Model for Image-Language and Video-Language Tasks arXiv:2209.07526
Image Retrieval with Multi-Modal QueryonFlickr30k
Text-to-image R@10· uses extra data· 2022-09-15
99.1
best: 99.8 (ERNIE-ViL 2.0)
OmniVL:One Foundation Model for Image-Language and Video-Language Tasks arXiv:2209.07526
Image Retrieval with Multi-Modal QueryonFlickr30k
Text-to-image R@5· uses extra data· 2022-09-15
97.8
best: 99.5 (M2-Encoder)
OmniVL:One Foundation Model for Image-Language and Video-Language Tasks arXiv:2209.07526
Image Retrieval with Multi-Modal QueryonCOCO 2014
Image-to-text R@1· uses extra data· 2022-09-15
82.1
best: 84.8 (BEiT-3)
OmniVL:One Foundation Model for Image-Language and Video-Language Tasks arXiv:2209.07526
Image Retrieval with Multi-Modal QueryonCOCO 2014
Image-to-text R@10· uses extra data· 2022-09-15
98.1
best: 98.5 (X2-VLM (large))
OmniVL:One Foundation Model for Image-Language and Video-Language Tasks arXiv:2209.07526
Image Retrieval with Multi-Modal QueryonCOCO 2014
Image-to-text R@5· uses extra data· 2022-09-15
95.9
best: 96.5 (X2-VLM (large))
OmniVL:One Foundation Model for Image-Language and Video-Language Tasks arXiv:2209.07526
Image Retrieval with Multi-Modal QueryonCOCO 2014
Text-to-image R@1· uses extra data· 2022-09-15
64.8
best: 68 (VAST)
OmniVL:One Foundation Model for Image-Language and Video-Language Tasks arXiv:2209.07526
Image Retrieval with Multi-Modal QueryonCOCO 2014
Text-to-image R@5· uses extra data· 2022-09-15
86.1
best: 92.8 (BEiT-3)
OmniVL:One Foundation Model for Image-Language and Video-Language Tasks arXiv:2209.07526
Cross-Modal Information RetrievalonFlickr30k
Image-to-text R@1· uses extra data· 2022-09-15
97.3
best: 98.8 (X2-VLM (large))
OmniVL:One Foundation Model for Image-Language and Video-Language Tasks arXiv:2209.07526
Cross-Modal Information RetrievalonFlickr30k
Image-to-text R@10· uses extra data· 2022-09-15
100
OmniVL:One Foundation Model for Image-Language and Video-Language Tasks arXiv:2209.07526
Cross-Modal Information RetrievalonFlickr30k
Image-to-text R@5· uses extra data· 2022-09-15
99.9
best: 100 (X2-VLM (large))
OmniVL:One Foundation Model for Image-Language and Video-Language Tasks arXiv:2209.07526
Cross-Modal Information RetrievalonFlickr30k
Text-to-image R@1· uses extra data· 2022-09-15
87.9
best: 93.3 (ERNIE-ViL 2.0)
OmniVL:One Foundation Model for Image-Language and Video-Language Tasks arXiv:2209.07526
Cross-Modal Information RetrievalonFlickr30k
Text-to-image R@10· uses extra data· 2022-09-15
99.1
best: 99.8 (ERNIE-ViL 2.0)
OmniVL:One Foundation Model for Image-Language and Video-Language Tasks arXiv:2209.07526
Cross-Modal Information RetrievalonFlickr30k
Text-to-image R@5· uses extra data· 2022-09-15
97.8
best: 99.4 (ERNIE-ViL 2.0)
OmniVL:One Foundation Model for Image-Language and Video-Language Tasks arXiv:2209.07526
Cross-Modal Information RetrievalonCOCO 2014
Image-to-text R@1· uses extra data· 2022-09-15
82.1
best: 84.8 (BEiT-3)
OmniVL:One Foundation Model for Image-Language and Video-Language Tasks arXiv:2209.07526
Cross-Modal Information RetrievalonCOCO 2014
Image-to-text R@10· uses extra data· 2022-09-15
98.1
best: 98.5 (X2-VLM (large))
OmniVL:One Foundation Model for Image-Language and Video-Language Tasks arXiv:2209.07526
Cross-Modal Information RetrievalonCOCO 2014
Image-to-text R@5· uses extra data· 2022-09-15
95.9
best: 96.5 (X2-VLM (large))
OmniVL:One Foundation Model for Image-Language and Video-Language Tasks arXiv:2209.07526
Cross-Modal Information RetrievalonCOCO 2014
Text-to-image R@1· uses extra data· 2022-09-15
64.8
best: 68 (VAST)
OmniVL:One Foundation Model for Image-Language and Video-Language Tasks arXiv:2209.07526
Cross-Modal Information RetrievalonCOCO 2014
Text-to-image R@5· uses extra data· 2022-09-15
86.1
best: 92.8 (BEiT-3)
OmniVL:One Foundation Model for Image-Language and Video-Language Tasks arXiv:2209.07526

Natural Language Processing12 results

Cross-Modal RetrievalonCOCO 2014
Text-to-image R@10· uses extra data· 2022-09-15
91.6
best: 92.8 (VAST)
SOTA
OmniVL:One Foundation Model for Image-Language and Video-Language Tasks arXiv:2209.07526
Cross-Modal RetrievalonFlickr30k
Image-to-text R@1· uses extra data· 2022-09-15
97.3
best: 98.8 (X2-VLM (large))
OmniVL:One Foundation Model for Image-Language and Video-Language Tasks arXiv:2209.07526
Cross-Modal RetrievalonFlickr30k
Image-to-text R@10· uses extra data· 2022-09-15
100
OmniVL:One Foundation Model for Image-Language and Video-Language Tasks arXiv:2209.07526
Cross-Modal RetrievalonFlickr30k
Image-to-text R@5· uses extra data· 2022-09-15
99.9
best: 100 (X2-VLM (large))
OmniVL:One Foundation Model for Image-Language and Video-Language Tasks arXiv:2209.07526
Cross-Modal RetrievalonFlickr30k
Text-to-image R@1· uses extra data· 2022-09-15
87.9
best: 93.3 (ERNIE-ViL 2.0)
OmniVL:One Foundation Model for Image-Language and Video-Language Tasks arXiv:2209.07526
Cross-Modal RetrievalonFlickr30k
Text-to-image R@10· uses extra data· 2022-09-15
99.1
best: 99.8 (ERNIE-ViL 2.0)
OmniVL:One Foundation Model for Image-Language and Video-Language Tasks arXiv:2209.07526
Cross-Modal RetrievalonFlickr30k
Text-to-image R@5· uses extra data· 2022-09-15
97.8
best: 99.4 (ERNIE-ViL 2.0)
OmniVL:One Foundation Model for Image-Language and Video-Language Tasks arXiv:2209.07526
Cross-Modal RetrievalonCOCO 2014
Image-to-text R@1· uses extra data· 2022-09-15
82.1
best: 84.8 (BEiT-3)
OmniVL:One Foundation Model for Image-Language and Video-Language Tasks arXiv:2209.07526
Cross-Modal RetrievalonCOCO 2014
Image-to-text R@10· uses extra data· 2022-09-15
98.1
best: 98.5 (X2-VLM (large))
OmniVL:One Foundation Model for Image-Language and Video-Language Tasks arXiv:2209.07526
Cross-Modal RetrievalonCOCO 2014
Image-to-text R@5· uses extra data· 2022-09-15
95.9
best: 96.5 (X2-VLM (large))
OmniVL:One Foundation Model for Image-Language and Video-Language Tasks arXiv:2209.07526
Cross-Modal RetrievalonCOCO 2014
Text-to-image R@1· uses extra data· 2022-09-15
64.8
best: 68 (VAST)
OmniVL:One Foundation Model for Image-Language and Video-Language Tasks arXiv:2209.07526
Cross-Modal RetrievalonCOCO 2014
Text-to-image R@5· uses extra data· 2022-09-15
86.1
best: 92.8 (BEiT-3)
OmniVL:One Foundation Model for Image-Language and Video-Language Tasks arXiv:2209.07526