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Video Captioning 벤치마크

Video Captioning on MSVD

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CIDEr

103.8 126.8 149.7 172.6 195.6 2022-08 2026-11 VASTA (Vatex-backbone) — 119.7 (2022-08-19) VASTA (Kinetics-backbone) — 106.4 (2022-08-19) VIOLETv2 — 139.2 (2022-09-04) HiTeA — 146.9 (2022-12-30) mPLUG-2 — 165.8 (2023-02-01) Vid2Seq — 146.2 (2023-02-27) SEM-POS — 108.3 (2023-03-26) MaMMUT — 195.6 (2023-03-29) VALOR — 178.5 (2023-04-17) VLAB — 179.8 (2023-05-22) COSA — 178.5 (2023-06-15) CoCap (ViT/L14) — 121.5 (2023-09-22) IcoCap (ViT-B/16) — 110.3 (2023-10-05) IcoCap (ViT-B/32) — 103.8 (2023-10-05) HowToCaption — 154.2 (2023-10-07) RTQ — 123.4 (2023-12-01) VASTA (Vatex-backbone) — 119.7 (2022-08-19) VIOLETv2 — 139.2 (2022-09-04) HiTeA — 146.9 (2022-12-30) mPLUG-2 — 165.8 (2023-02-01) MaMMUT — 195.6 (2023-03-29)
RankModel CIDErBLEU-4METEORROUGE-LGS Extra Training Data PaperCodeYear
1 MaMMUT 195.6–––– MaMMUT: A Simple Architecture for Joint Learning for MultiModal Tasks lucidrains/mammut-pytorch 2023
2 VLAB 179.879.351.287.9– ✓ VLAB: Enhancing Video Language Pre-training by Feature Adapting and Blending 2023
3 VALOR 178.580.751.087.9– ✓ VALOR: Vision-Audio-Language Omni-Perception Pretraining Model and Dataset TXH-mercury/VALOR 2023
3 COSA 178.576.5––– ✓ COSA: Concatenated Sample Pretrained Vision-Language Foundation Model txh-mercury/cosa 2023
5 mPLUG-2 165.870.548.485.3– mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video modelscope/modelscope · x-plug/mplug-owl · alibaba/AliceMind · +1 2023
6 HowToCaption 154.270.446.483.2– HowToCaption: Prompting LLMs to Transform Video Annotations at Scale ninatu/howtocaption 2023
7 HiTeA 146.971.045.381.4– ✓ HiTeA: Hierarchical Temporal-Aware Video-Language Pre-training 2022
8 Vid2Seq 146.2–45.3–– ✓ Vid2Seq: Large-Scale Pretraining of a Visual Language Model for Dense Video Captioning google-research/scenic · antoyang/VidChapters · KastanDay/video-pretrained-transformer 2023
9 VIOLETv2 139.2–––– An Empirical Study of End-to-End Video-Language Transformers with Masked Visual Modeling tsujuifu/pytorch_empirical-mvm 2022
10 RTQ 123.466.9–82.2– RTQ: Rethinking Video-language Understanding Based on Image-text Model SCZwangxiao/RTQ-MM2023 · sczwangxiao/tsgvs-mm2023 2023
11 CoCap (ViT/L14) 121.560.141.478.2– Accurate and Fast Compressed Video Captioning acherstyx/CoCap 2023
12 VASTA (Vatex-backbone) 119.759.240.6576.7– Diverse Video Captioning by Adaptive Spatio-temporal Attention zohrehghaderi/vasta 2022
13 IcoCap (ViT-B/16) 110.359.139.576.5– ✓ IcoCap: Improving Video Captioning by Compounding Images 2023
14 SEM-POS 108.360.138.576.0607.1 SEM-POS: Grammatically and Semantically Correct Video Captioning 2023
15 VASTA (Kinetics-backbone) 106.456.139.174.5– Diverse Video Captioning by Adaptive Spatio-temporal Attention zohrehghaderi/vasta 2022
16 IcoCap (ViT-B/32) 103.856.338.975.0– ✓ IcoCap: Improving Video Captioning by Compounding Images 2023
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