paper-with-me

Video Classification 벤치마크

Video Classification on MoB

6개 결과 · ⬇ CSV · JSON

Accuracy

69.71 71.74 73.78 75.81 77.85 2023-05 2026-11 VTN — 77.85 (2023-05-24) I3D — 72.11 (2023-05-24) ConvLSTM — 69.71 (2023-05-24) VTN — 77.85 (2023-05-24) I3D — 72.11 (2023-05-24) ConvLSTM — 69.71 (2023-05-24) VTN — 77.85 (2023-05-24)
RankModel Accuracy PaperCodeYear
1 VTN 77.85 Malicious or Benign? Towards Effective Content Moderation for Children's Videos syedhammadahmed/mob · andreascas/oran_gai 2023
2 I3D 72.11 Malicious or Benign? Towards Effective Content Moderation for Children's Videos syedhammadahmed/mob · andreascas/oran_gai 2023
3 ConvLSTM 69.71 Malicious or Benign? Towards Effective Content Moderation for Children's Videos syedhammadahmed/mob · andreascas/oran_gai 2023
4 VTN 77.85 Malicious or Benign? Towards Effective Content Moderation for Children's Videos syedhammadahmed/mob · andreascas/oran_gai 2023
5 I3D 72.11 Malicious or Benign? Towards Effective Content Moderation for Children's Videos syedhammadahmed/mob · andreascas/oran_gai 2023
6 ConvLSTM 69.71 Malicious or Benign? Towards Effective Content Moderation for Children's Videos syedhammadahmed/mob · andreascas/oran_gai 2023
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