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Video Captioning on VATEX

99.5CIDErVAST
-3.79862423.01928849.837276.655112Dec 9, 2022Jun 29, 2023Jan 18, 2024Aug 8, 2024Feb 27, 2025Sep 18, 2025Apr 9, 2026

Evaluation results

MethodLinks
VASTmodality track=Multi-modal, SCST finetuning=true2023.0599.5—————————
VAST(1.3B)Sample=442M, Audio or subtitle modalities=true, SCST finetuning=true2023.0599.5————45————
Method [7]modality track=Multi-modal, SCST finetuning=true2023.0595.8—————————
VALOR-LSample=433.5M, Audio or subtitle modalities=true, SCST finetuning=true2023.0595.8————45.6————
VALORL#Example=33.5M, Mod=V+A, Reinforcement Learning=true2023.0495.8————45.629.457.4——
VALORzero-shot=false2023.1295.1—————————
Method [19]modality track=Vision-only, SCST finetuning=true2023.0594.5—————————
GIT2(5.1B)Sample=12.9B, Audio or subtitle modalities=false, SCST finetuning=true2023.0594.5————42.7————
GIT2 (5.1B)#Example=12.9B, Mod=V, Reinforcement Learning=true2023.0494.5————42.728.856.5——
GIT2optimization=Self-Critical Sequence Training2023.0594—————————
GIT2number of frames=162023.1094—————————
GITSample=1.7B, Audio or subtitle modalities=false, SCST finetuning=true2023.0591.5————41.6————
GIT#Example=800M, Mod=V, Reinforcement Learning=true2023.0491.5————41.628.155.4——
CLIP4Caption++Sample=400M, Audio or subtitle modalities=true, SCST finetuning=true2023.0585.7————40.6————
VideoCoCaEvaluation Protocol=finetuning2022.1277.8————39.7—54.5——
CoDi2023.1274.4—————————
VALORB#Example=6.5M, Mod=V+A2023.0473.9————41.926.654.6——
SwinBERTSample=None, Audio or subtitle modalities=false, SCST finetuning=false2023.0573————38.7————
SwinBERTMod=V2023.0473————38.726.253.2——
GITL#Example=20M, Mod=V, Reinforcement Learning=true2023.0472.5————41.626.254.3——
VALOR#Example=5.5M, Mod=V2023.0471.6————40.726.153.8——
SMPFFSample=None, Audio or subtitle modalities=true, SCST finetuning=false2023.0570.5————39.7————
SMPFFMod=V+A2023.0470.5————39.72653.6——
PaLI-XNumber of frames=162023.0569.3—————————
PaLI-3number of frames=162023.1066.9—————————
PaLI-XNumber of frames=82023.0566—————————
VALUESample=136M, Audio or subtitle modalities=true, SCST finetuning=false2023.0558.1—————————
VALUE#Example=136M, Mod=V+S2023.0458.1————32.92450——
MGRMPVenue=ICCV’21, Method Type=Autoregressive2026.0457.6————34.223.5——50.3
OpenBookMod=V2023.0457.5————33.923.750.2——
Tarsier-34BZero-shot=true2024.0657.1—————————
KG-VCNVenue=PR’25, Method Type=Autoregressive2026.0453.3————33.322.9——49.5
Support-set#Example=136M, Mod=V2023.0451.2————32.824.449.1——
Tarsier-7BZero-shot=true2024.0651.1—————————
DiffVCVenue=-, Method Type=Non-autoregressive2026.0450.3————29.521——48.7
ORG-TRLMod=V2023.0449.7————32.122.248.9——
ORG-TRLEvaluation Protocol=finetuning2022.1249.7————32.1—48.9——
ORG-TRLVenue=CVPR’20, Method Type=Autoregressive2026.0449.7————32.122.2——48.9
InternVideo2Zero-shot=true2024.0649.2—————————
ChatBridge-13Bzero-shot=true2023.1248.9—————————
R-ConvEDVenue=TOMM’23, Method Type=Autoregressive2026.0448.7————32.121.8———
UIO-2XXLModel Size=XXL2023.1245.6—————————
OneLLM-7Bzero-shot=true2023.1243.8—————————
SynPOModel Backbone=InternVL2-8B, Fine-tuning Dataset=Sharegpt4video2025.0642.8—————20.1———
SynPOModel Backbone=AuroraCap, Fine-tuning Dataset=Pandas-70M2025.0642.6—————19.7———
SynPOModel Backbone=AuroraCap, Fine-tuning Dataset=Sharegpt4video2025.0642.5—————19.6———
SynPOModel Backbone=AuroraCap, Fine-tuning Dataset=Charades2025.0642.2—————19.6———
UIO-2XLModel Size=XL2023.1241.6—————————
ALSO-NetVenue=TOMM’24, Method Type=Non-autoregressive2026.0440.4————27.820.6——46.8
FlamingoZero-shot=true2024.0639.5—————————
BaseModel Backbone=AuroraCap, Fine-tuning Dataset=Sharegpt4video2025.0638.4—————18.6———
SynPOModel Backbone=LLaVA1.6-7B-video, Fine-tuning Dataset=Sharegpt4video2025.0637.3—————18.1———
UIO-2LModel Size=L2023.1237.1—————————
VideoPrismZero-shot=true2024.0631.7—————————
NITS-VCEvaluation Protocol=finetuning2022.1224————20—42——
VideoCocaZero-shot=true2024.0622.8—————————
VideoCoCaEvaluation Protocol=zero-shot2022.1222.8————9.5—29.5——
CoCaEvaluation Protocol=zero-shot2022.1212.4————6.2—21——
FULL CACHEModel Architecture=Qwen2.5-VL-3B2026.040.5661————29.7923.348.9639.67—
HYBRIDKVModel Architecture=Qwen2.5-VL-3B2026.040.5427————29.3622.8647.7238.55—
LOOK-MModel Architecture=Qwen2.5-VL-3B2026.040.5176————28.5122.4547.5637.57—
SNAPKVModel Architecture=Qwen2.5-VL-3B2026.040.5072————27.4221.8647.4836.87—
HYBRIDKVModel Architecture=Qwen2.5-VL-7B2026.040.4774————22.6622.3643.1833.99—
MADAKVModel Architecture=Qwen2.5-VL-3B2026.040.4708————26.9120.9545.9735.23—
FULL CACHEModel Architecture=Qwen2.5-VL-7B2026.040.4628————21.8122.0942.6633.21—
LOOK-MModel Architecture=Qwen2.5-VL-7B2026.040.4571————21.821.7442.833.01—
SNAPKVModel Architecture=Qwen2.5-VL-7B2026.040.4498————21.4621.2542.432.52—
SPARSEMMModel Architecture=Qwen2.5-VL-3B2026.040.4352————27.0820.845.4434.21—
MADAKVModel Architecture=Qwen2.5-VL-7B2026.040.4306————20.5121.5742.2831.86—
SPARSEMMModel Architecture=Qwen2.5-VL-7B2026.040.4198————21.3321.1642.2731.69—
FULL CACHEModel Architecture=LLaVA-OV-7B2026.040.2355————13.31937.3923.31—
HYBRIDKVModel Architecture=LLaVA-OV-7B2026.040.2109————13.74183722.46—
LOOK-MModel Architecture=LLaVA-OV-7B2026.040.1957————12.0517.7236.2521.4—
SNAPKVModel Architecture=LLaVA-OV-7B2026.040.1799————11.6117.0435.8420.62—
SPARSEMMModel Architecture=LLaVA-OV-7B2026.040.177————11.9316.8835.9320.61—
MADAKVModel Architecture=LLaVA-OV-7B2026.040.1744————11.1517.4836.0120.52—
VASTABackbone=Kinetics2022.08—86.1897.2985.87.04—————