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Video-to-Text Retrieval on ActivityNet (test)

71.9R@1VidVec
7.4224.1640.957.64Apr 18, 2021Feb 4, 2022Nov 24, 2022Sep 13, 2023Jul 2, 2024Apr 21, 2025Feb 8, 2026

Evaluation results

MethodLinks
VidVec2026.0271.990.895.8————
InternVideo2-6BTraining Protocol=Fine-tuned on ActivityNet2026.0269.7——————
UMT-LTraining Protocol=Fine-tuned on ActivityNet2026.0264.4——————
LamRAModel Category=Multimodal LLM Embedders2026.0258.784.892.5————
InternVideo2-6BModel Category=Video Foundation Models2026.0256.582.890.3————
MMRet-v1.5Model Category=Multimodal LLM Embedders2026.0252.777.886.8————
PE-Core-GModel Category=Video Foundation Models2026.0251.2——————
VideoPrism-gModel Category=Video Foundation Models2026.0250.377.1—————
RAPType=Adapter, Frozen visual encoder=true2024.0548.276.586.2—6.8——
ViCLIPTraining Protocol=Fine-tuned on ActivityNet2026.0248.1——————
X-CLIPBackbone=ViT-B/162022.0746.475.9——6.4——
CLIP4ClipBackbone=ViT-B/16, Aggregation Strategy=MeanP2022.0744.174——6.5——
CLIP4ClipBackbone=ViT-B/16, Aggregation Strategy=seqTransf2022.0744.175.2——6.4——
X-CLIPBackbone=ViT-B/322022.0743.973.9——7.6——
CLIP4Clip-seqLSTMTrainD=W+A, E2E=false2021.0442.673.485.626.7——
CLIP4Clip-meanPTrainD=W+A, E2E=false2021.0442.574.185.826.6——
CLIP4ClipBackbone=ViT-B/32, Aggregation Strategy=MeanP2022.0742.574.1——6.6——
CLIP4Clip-meanPBackbone=CLIP (ViT-B/32), # Params (M)=123.542025.0642.574.185.8—6.6—202.4
CLIP4ClipType=Fine-tune, Frozen visual encoder=false2024.0541.972.284.6—7.3——
RAPType=Adapter, Frozen visual encoder=false2024.0541.97384—7.5——
DiscoVLABackbone=CLIP (ViT-B/32), # Params (M)=0.562025.0641.872.884.7—6.9—199.3
CLIP4ClipTraining Protocol=Fine-tuned on ActivityNet2026.0241.6——————
CLIP4Clip-seqTransfTrainD=W+A, E2E=false2021.0441.473.785.326.7——
CLIP4ClipBackbone=ViT-B/32, Aggregation Strategy=seqTransf2022.0741.473.7——6.7——
UMT-LModel Category=Video Foundation Models2026.0240.767.678.6————
VLM2VecModel Category=Multimodal LLM Embedders2026.0240.459.266.2————
B3Model Category=Multimodal LLM Embedders2026.0239.257.465.3————
VLM2Vec-V2Model Category=Multimodal LLM Embedders2026.0238.85865.6————
UniME-V2Model Category=Multimodal LLM Embedders2026.0238.557.264.5————
VoPF+PBackbone=CLIP (ViT-B/32), # Params (M)=0.42025.0636.365.979.2—10.1—181.4
SSFType=Adapter2024.0536.266.979—10.4——
VoPF+CBackbone=CLIP (ViT-B/32), # Params (M)=14.102025.0635.665.977.8—10.4—179.3
VoPPType=Prompt2024.0534.86578.2—10.7——
VoPCType=Prompt2024.0534.264.878.4—10.7——
UNITEModel Category=Multimodal LLM Embedders2026.0231.447.655————
InternVideo-LModel Category=Video Foundation Models2026.0231.4——————
LORAType=Adapter2024.0530.86073.2—15.2——
ST-AdapterType=Adapter2024.0529.758.873.1—15.5——
Support Set2022.0629.261.6—————
CoOpType=Prompt2024.052957.672.4—14——
MMTTrainD=H+A, E2E=false2021.0428.961.1—417.1——
MMT2022.0728.961.1——17.1——
SSBTrainD=H+A, E2E=false2021.0428.760.8—2———
SSB2022.0728.760.8—————
VPTType=Prompt2024.0528.456.769.4—19.7——
ViCLIPModel Category=Video Foundation Models2026.0224——————
TT-CE+TrainD=A, E2E=false2021.042356.1—4———
TT-CE+2022.072356.1—————
ClipBERT2022.0621.349—————
ActivityNet modelTrained On=ActivityNet2021.0519.148.161.2——32.5—
CLIP4Clip-tightTransfTrainD=W+A, E2E=true2021.0418.949.665.8616.3——
HSETrainD=A, E2E=false2021.0418.748.1—————
HSE2022.0718.748.1—————
CETrainD=A, E2E=false2021.0417.746.6—624.4——
ATP2022.0617.741.8—————
CE2022.0717.746.6—————
CLIP4ClipType=Fine-tune, Frozen visual encoder=true2024.0517.740.754.1—42.5——
S-MiT modelTrained On=S-MiT2021.0517.641.653.8——29.2—
FSETrainD=A, E2E=false2021.0416.743.1—7———
FSE2022.0716.743.1—————
Vatex modelTrained On=Vatex2021.0515.639.451.7——27.1—
CLIPinput_format=single-frame2022.0612.530.3—————
MSR-VTT modelTrained On=MSR-VTT2021.059.928.339.7——19.6—