Activity Recognition on Something-Something V2

Metric: Parameters (higher is better)

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#	Model↕	Parameters▼	Extra Data	Paper	Date↕	Code
1	InternVideo2-6B	2131	Yes	InternVideo2: Scaling Foundation Models for Mult...	2024-03-22	Code
2	VideoMAE V2-g	1013	Yes	VideoMAE V2: Scaling Video Masked Autoencoders w...	2023-03-29	Code
3	MVD (Kinetics400 pretrain, ViT-H, 16 frame)	633	Yes	Masked Video Distillation: Rethinking Masked Fea...	2022-12-08	Code
4	MAR (50% mask, ViT-L, 16x4)	311	No	MAR: Masked Autoencoders for Efficient Action Re...	2022-07-24	Code
5	MAR (75% mask, ViT-L, 16x4)	311	No	MAR: Masked Autoencoders for Efficient Action Re...	2022-07-24	Code
6	MVD (Kinetics400 pretrain, ViT-L, 16 frame)	305	Yes	Masked Video Distillation: Rethinking Masked Fea...	2022-12-08	Code
7	VideoMAE (no extra data, ViT-L, 32x2)	305	No	VideoMAE: Masked Autoencoders are Data-Efficient...	2022-03-23	Code
8	VideoMAE (no extra data, ViT-L, 16frame)	305	No	VideoMAE: Masked Autoencoders are Data-Efficient...	2022-03-23	Code
9	MaskFeat (Kinetics600 pretrain, MViT-L)	218	Yes	Masked Feature Prediction for Self-Supervised Vi...	2021-12-16	Code
10	MViTv2-L (IN-21K + Kinetics400 pretrain)	213.1	No	MViTv2: Improved Multiscale Vision Transformers ...	2021-12-02	Code
11	MAR (50% mask, ViT-B, 16x4)	94	No	MAR: Masked Autoencoders for Efficient Action Re...	2022-07-24	Code
12	MAR (75% mask, ViT-B, 16x4)	94	No	MAR: Masked Autoencoders for Efficient Action Re...	2022-07-24	Code
13	BEVT (IN-1K + Kinetics400 pretrain)	89	Yes	BEVT: BERT Pretraining of Video Transformers	2021-12-02	Code
14	Swin-B (IN-21K + Kinetics400 pretrain)	89	Yes	Video Swin Transformer	2021-06-24	Code
15	MVD (Kinetics400 pretrain, ViT-B, 16 frame)	87	Yes	Masked Video Distillation: Rethinking Masked Fea...	2022-12-08	Code
16	AMD(ViT-B/16)	87	No	Asymmetric Masked Distillation for Pre-Training ...	2023-11-06	-
17	VideoMAE (no extra data, ViT-B, 16frame)	87	No	VideoMAE: Masked Autoencoders are Data-Efficient...	2022-03-23	Code
18	CT-Net Ensemble (R50, 8+12+16+24)	83.8	Yes	CT-Net: Channel Tensorization Network for Video ...	2021-06-03	Code
19	MorphMLP-B (IN-1K)	68.5	Yes	MorphMLP: An Efficient MLP-Like Backbone for Spa...	2021-11-24	Code
20	MViTv2-B (IN-21K + Kinetics400 pretrain)	51.1	No	MViTv2: Improved Multiscale Vision Transformers ...	2021-12-02	Code
21	UniFormer-B (IN-1K + Kinetics400 pretrain)	50.1	Yes	-	-	Code
22	MViT-B, 32x3(Kinetics600 pretrain)	36.6	Yes	Multiscale Vision Transformers	2021-04-22	Code
23	GC-TDN Ensemble (R50,8+16)	27.4	Yes	Group Contextualization for Video Recognition	2022-03-18	Code
24	MVD (Kinetics400 pretrain, ViT-S, 16 frame)	22	Yes	Masked Video Distillation: Rethinking Masked Fea...	2022-12-08	Code
25	AMD(ViT-S/16)	22	No	Asymmetric Masked Distillation for Pre-Training ...	2023-11-06	-
26	UniFormer-S (IN-1K + Kinetics600 pretrain)	21.4	Yes	-	-	Code

#1InternVideo2-6BSOTA
2131
Parameters· Extra Data· 2024-03-22
InternVideo2: Scaling Foundation Models for Multimodal Video Understanding Code
#2VideoMAE V2-gSOTA
1013
Parameters· Extra Data· 2023-03-29
VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking Code
#3MVD (Kinetics400 pretrain, ViT-H, 16 frame)SOTA
633
Parameters· Extra Data· 2022-12-08
Masked Video Distillation: Rethinking Masked Feature Modeling for Self-supervised Video Representation Learning Code
#4MAR (50% mask, ViT-L, 16x4)SOTA
311
Parameters· 2022-07-24
MAR: Masked Autoencoders for Efficient Action Recognition Code
#5MAR (75% mask, ViT-L, 16x4)
311
Parameters· 2022-07-24
MAR: Masked Autoencoders for Efficient Action Recognition Code
#6MVD (Kinetics400 pretrain, ViT-L, 16 frame)
305
Parameters· Extra Data· 2022-12-08
Masked Video Distillation: Rethinking Masked Feature Modeling for Self-supervised Video Representation Learning Code
#7VideoMAE (no extra data, ViT-L, 32x2)SOTA
305
Parameters· 2022-03-23
VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training Code
#8VideoMAE (no extra data, ViT-L, 16frame)
305
Parameters· 2022-03-23
VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training Code
#9MaskFeat (Kinetics600 pretrain, MViT-L)SOTA
218
Parameters· Extra Data· 2021-12-16
Masked Feature Prediction for Self-Supervised Visual Pre-Training Code
#10MViTv2-L (IN-21K + Kinetics400 pretrain)SOTA
213.1
Parameters· 2021-12-02
MViTv2: Improved Multiscale Vision Transformers for Classification and Detection Code
#11MAR (50% mask, ViT-B, 16x4)
94
Parameters· 2022-07-24
MAR: Masked Autoencoders for Efficient Action Recognition Code
#12MAR (75% mask, ViT-B, 16x4)
94
Parameters· 2022-07-24
MAR: Masked Autoencoders for Efficient Action Recognition Code
#13BEVT (IN-1K + Kinetics400 pretrain)
89
Parameters· Extra Data· 2021-12-02
BEVT: BERT Pretraining of Video Transformers Code
#14Swin-B (IN-21K + Kinetics400 pretrain)SOTA
89
Parameters· Extra Data· 2021-06-24
Video Swin Transformer Code
#15MVD (Kinetics400 pretrain, ViT-B, 16 frame)
87
Parameters· Extra Data· 2022-12-08
Masked Video Distillation: Rethinking Masked Feature Modeling for Self-supervised Video Representation Learning Code
#16AMD(ViT-B/16)
87
Parameters· 2023-11-06
Asymmetric Masked Distillation for Pre-Training Small Foundation Models
#17VideoMAE (no extra data, ViT-B, 16frame)
87
Parameters· 2022-03-23
VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training Code
#18CT-Net Ensemble (R50, 8+12+16+24)SOTA
83.8
Parameters· Extra Data· 2021-06-03
CT-Net: Channel Tensorization Network for Video Classification Code
#19MorphMLP-B (IN-1K)
68.5
Parameters· Extra Data· 2021-11-24
MorphMLP: An Efficient MLP-Like Backbone for Spatial-Temporal Representation Learning Code
#20MViTv2-B (IN-21K + Kinetics400 pretrain)
51.1
Parameters· 2021-12-02
MViTv2: Improved Multiscale Vision Transformers for Classification and Detection Code
#21UniFormer-B (IN-1K + Kinetics400 pretrain)
50.1
Parameters· Extra Data
No paperCode
#22MViT-B, 32x3(Kinetics600 pretrain)SOTA
36.6
Parameters· Extra Data· 2021-04-22
Multiscale Vision Transformers Code
#23GC-TDN Ensemble (R50,8+16)
27.4
Parameters· Extra Data· 2022-03-18
Group Contextualization for Video Recognition Code
#24MVD (Kinetics400 pretrain, ViT-S, 16 frame)
22
Parameters· Extra Data· 2022-12-08
Masked Video Distillation: Rethinking Masked Feature Modeling for Self-supervised Video Representation Learning Code
#25AMD(ViT-S/16)
22
Parameters· 2023-11-06
Asymmetric Masked Distillation for Pre-Training Small Foundation Models
#26UniFormer-S (IN-1K + Kinetics600 pretrain)
21.4
Parameters· Extra Data
No paperCode