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README.md
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| 1 |
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---
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| 2 |
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license: apache-2.0
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+
datasets:
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- Reself/AuroraCap-trainset
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base_model:
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- lmsys/vicuna-7b-v1.5-16k
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tags:
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- caption
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model-index:
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- name: AuroraCap-7B
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results:
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| 12 |
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- task:
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type: video detailed caption
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dataset:
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type: VDC
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name: VDC
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metrics:
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- type: Acc
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value: 38.21
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name: VDCScore
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- type: Acc
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value: 48.33
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name: VDD
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- type: cider
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value: 9.51
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- type: bleu
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value: 30.90
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name: bleu@1
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| 29 |
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- type: bleu
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value: 4.06
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| 31 |
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name: bleu@4
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| 32 |
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- type: meteor
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| 33 |
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value: 19.09
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| 34 |
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- type: rouge
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value: 21.58
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name: rouge-l
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| 37 |
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- task:
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type: video caption
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dataset:
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type: MSR-VTT
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name: NSR-VTT
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metrics:
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- type: cider
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| 44 |
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value: 33.1
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| 45 |
+
- type: bleu
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| 46 |
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value: 58.6
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| 47 |
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name: bleu@1
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| 48 |
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- type: bleu
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| 49 |
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value: 21.0
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| 50 |
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name: bleu@4
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| 51 |
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- type: meteor
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| 52 |
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value: 23.9
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| 53 |
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- type: rouge
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value: 49.5
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name: rouge-l
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| 56 |
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- task:
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| 57 |
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type: video caption
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| 58 |
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dataset:
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| 59 |
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type: VATEX
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| 60 |
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name: VATEX
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| 61 |
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metrics:
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| 62 |
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- type: cider
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| 63 |
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value: 33.8
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| 64 |
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- type: bleu
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| 65 |
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value: 57.1
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| 66 |
+
name: bleu@1
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| 67 |
+
- type: bleu
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| 68 |
+
value: 18.4
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| 69 |
+
name: bleu@4
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| 70 |
+
- type: meteor
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| 71 |
+
value: 19.0
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| 72 |
+
- type: rouge
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| 73 |
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value: 40.8
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| 74 |
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name: rouge-l
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| 75 |
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- task:
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| 76 |
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type: video question anwering
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| 77 |
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dataset:
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| 78 |
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type: ActivityNet
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| 79 |
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name: ActivityNet
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| 80 |
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metrics:
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| 81 |
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- type: Acc
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| 82 |
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value: 61.8
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| 83 |
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- task:
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| 84 |
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type: video question anwering
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| 85 |
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dataset:
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| 86 |
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type: MSVD
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| 87 |
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name: MSVD
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| 88 |
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metrics:
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| 89 |
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- type: Acc
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| 90 |
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value: 62.6
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| 91 |
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- task:
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| 92 |
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type: video question anwering
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| 93 |
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dataset:
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type: MSR-VTT
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| 95 |
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name: MSR-VTT
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| 96 |
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metrics:
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| 97 |
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- type: Acc
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| 98 |
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value: 43.5
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| 99 |
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- task:
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| 100 |
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type: video question anwering
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| 101 |
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dataset:
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| 102 |
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type: iVQA
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| 103 |
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name: iVQA
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| 104 |
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metrics:
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| 105 |
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- type: Acc
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| 106 |
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value: 55.2
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---
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<img src="assets/teaser.png" align="center">
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| 111 |
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## Resources
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| 112 |
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| 113 |
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- [Website](https://rese1f.github.io/aurora-web/)
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| 114 |
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- [arXiv: Paper]()
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| 115 |
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- [GitHub: Code](https://github.com/rese1f/aurora)
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| 116 |
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- [Huggingface: AuroraCap Model](https://huggingface.co/collections/Reself/auroracap-66d117ffe13bedda96702013)
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- [Huggingface: VDC Benchmark](https://huggingface.co/datasets/Reself/Video-Detailed-Caption)
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| 118 |
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- [Huggingface: Trainset](https://huggingface.co/datasets/Reself/AuroraCap-trainset)
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## Features
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| 121 |
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<img src="assets/vdc_baseline.png" align="center">
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AuroraCap is a multimodal large language model for image and video captioning.
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## Quick Start
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See [Docs](https://github.com/rese1f/aurora/blob/main/docs/auroracap/README.md).
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## Citation
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