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Paragraph-to-Video Retrieval on ActivityNet Captions (test)

54.8R@1TESTA
19.12828.38937.6546.911Oct 12, 2022Dec 14, 2022Feb 16, 2023Apr 21, 2023Jun 23, 2023Aug 26, 2023Oct 29, 2023

Evaluation results

MethodLinks
TESTA#PT Data=5M, #Frame=96, GFLOPS=13812023.1054.880.8——89.6
CLIP-ViP#PT Data=100M, #Frame=12, GFLOPS=2122023.1053.481.4——90
TESTA#PT Data=5M, #Frame=32, GFLOPS=4202023.1051.779.1——87.6
VINDLU#PT Data=5M, #Frame=4, GFLOPS=932023.1051.179.2——88.4
X-CLIP#PT Data=400M, #Frame=64, GFLOPS=10862023.1046.275.5———
HiTeA#PT Data=5M, #Frame=12, GFLOPS=982023.1045.173.5——84.2
Singularity#PT Data=5M, #Frame=32, GFLOPS=5892023.104370.6——81.3
Clip4Clip#PT Data=400M, #Frame=64, GFLOPS=2822023.1040.572.4———
TESTAPre-training Data=5M, GFLOPS=786, Evaluation Protocol=Zero-shot, Frames=322023.1037.163.7——75.4
LF-VILAPre-training Dataset=LF-VILA-8M2022.1035.365.4953—
LF-VILA#PT Data=8M, #Frame=32, GFLOPS=2982023.1035.365.4———
BLIPPre-training Data=129M, GFLOPS=707, Evaluation Protocol=Zero-shot, Frames=322023.1034.260——70.7
TACOPre-training Dataset=HowTo100M [36]2022.1030.461.293.43—
Support SetPre-training Dataset=HowTo100M [36]2022.1029.261.694.73—
FrozenPre-training Dataset=CC3M, WebVid-2.5M [3]2022.1028.860.9—3—
HD-VILAPre-training Dataset=HD-VILA-100M [54]2022.1028.557.4944—
Clip4ClipPre-training Data=400M, GFLOPS=282, Evaluation Protocol=Zero-shot, Frames=322023.102551.6——65.7
TeachText2023.1023.557.2———
All-in-one#PT Data=138M, #Frame=3, GFLOPS=622023.1022.453.7——67.7
ClipBERTPre-training Dataset=COCO [9], Visual Genome [24]2022.1021.349—6—
ClipBERT#PT Data=0.2M, #Frame=2, GFLOPS=132023.1021.349——63.5
HSE2022.1020.549.3———