Share your thoughts, 1 month free Claude Pro on usSee more
WorkDL logo mark

LLaVA-OneVision: Easy Visual Task Transfer

About

We present LLaVA-OneVision, a family of open large multimodal models (LMMs) developed by consolidating our insights into data, models, and visual representations in the LLaVA-NeXT blog series. Our experimental results demonstrate that LLaVA-OneVision is the first single model that can simultaneously push the performance boundaries of open LMMs in three important computer vision scenarios: single-image, multi-image, and video scenarios. Importantly, the design of LLaVA-OneVision allows strong transfer learning across different modalities/scenarios, yielding new emerging capabilities. In particular, strong video understanding and cross-scenario capabilities are demonstrated through task transfer from images to videos.

Bo Li, Yuanhan Zhang, Dong Guo, Renrui Zhang, Feng Li, Hao Zhang, Kaichen Zhang, Peiyuan Zhang, Yanwei Li, Ziwei Liu, Chunyuan Li• 2024

Related benchmarks

TaskDatasetResultRank
Object Hallucination EvaluationPOPE
Accuracy88.4
2056
Visual Question AnsweringVizWiz
Accuracy60.4
1863
Visual Question AnsweringTextVQA
Accuracy71.1
1455
Visual Question AnsweringGQA
Accuracy62.2
1445
Text-based Visual Question AnsweringTextVQA
Accuracy84.5
984
Science Question AnsweringScienceQA
Accuracy65.84
916
Multimodal EvaluationMME
Score2.31e+3
902
Multimodal UnderstandingMMBench
Accuracy80.8
887
Multimodal UnderstandingMM-Vet
MM-Vet Score60.6
664
Video UnderstandingMVBench
Accuracy59.4
635
Showing 10 of 1440 rows
...

Other info

Code

Follow for update