Action Recognition On Ava V2 2

评估指标

mAP

评测结果

各个模型在此基准测试上的表现结果

		Paper Title	Repository
LART (Hiera-H, K700 PT+FT)	45.1	On the Benefits of 3D Pose and Tracking for Human Action Recognition
Hiera-H (K700 PT+FT)	43.3	Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles
VideoMAE V2-g	42.6	VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking
STAR/L	41.7	End-to-End Spatio-Temporal Action Localisation with Video Transformers	-
MVD (Kinetics400 pretrain+finetune, ViT-H, 16x4)	41.1	Masked Video Distillation: Rethinking Masked Feature Modeling for Self-supervised Video Representation Learning
InternVideo	41.01	InternVideo: General Video Foundation Models via Generative and Discriminative Learning
MVD (Kinetics400 pretrain, ViT-H, 16x4)	40.1	Masked Video Distillation: Rethinking Masked Feature Modeling for Self-supervised Video Representation Learning
MaskFeat (Kinetics-600 pretrain, MViT-L)	39.8	Masked Feature Prediction for Self-Supervised Visual Pre-Training
UMT-L (ViT-L/16)	39.8	Unmasked Teacher: Towards Training-Efficient Video Foundation Models
VideoMAE (K400 pretrain+finetune, ViT-H, 16x4)	39.5	VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
VideoMAE (K700 pretrain+finetune, ViT-L, 16x4)	39.3	VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
MVD (Kinetics400 pretrain+finetune, ViT-L, 16x4)	38.7	Masked Video Distillation: Rethinking Masked Feature Modeling for Self-supervised Video Representation Learning
VideoMAE (K400 pretrain+finetune, ViT-L, 16x4)	37.8	VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
MVD (Kinetics400 pretrain, ViT-L, 16x4)	37.7	Masked Video Distillation: Rethinking Masked Feature Modeling for Self-supervised Video Representation Learning
VideoMAE (K400 pretrain, ViT-H, 16x4)	36.5	VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
VideoMAE (K700 pretrain, ViT-L, 16x4)	36.1	VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
MeMViT-24	35.4	MeMViT: Memory-Augmented Multiscale Vision Transformer for Efficient Long-Term Video Recognition
MViTv2-L (IN21k, K700)	34.4	MViTv2: Improved Multiscale Vision Transformers for Classification and Detection
VideoMAE (K400 pretrain, ViT-L, 16x4)	34.3	VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
MVD (Kinetics400 pretrain+finetune, ViT-B, 16x4)	34.2	Masked Video Distillation: Rethinking Masked Feature Modeling for Self-supervised Video Representation Learning

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Action Recognition On Ava V2 2

评估指标

评测结果