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算力平台

Action Recognition In Videos On Hmdb 51

评估指标

Average accuracy of 3 splits

评测结果

各个模型在此基准测试上的表现结果

Paper Title
VideoMAE V2-g88.1VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking
DEEP-HAL with ODF+SDF(I3D)87.56Self-supervising Action Recognition by Statistical Moment and Subspace Descriptors
TO+MaxExp+IDT87.21High-order Tensor Pooling with Attention for Action Recognition
SCK⊕(I3D)+IDT86.11Tensor Representations for Action Recognition
SO+MaxExp+IDT85.70High-order Tensor Pooling with Attention for Action Recognition
R2+1D-BERT85.10Late Temporal Modeling in 3D CNN Architectures with BERT for Action Recognition
Ours + ResNext101 BERT84.53Pose And Joint-Aware Action Recognition
SMART84.36SMART Frame Selection for Action Recognition
OmniSource (SlowOnly-8x8-R101-RGB + I3D Flow)83.8Omni-sourced Webly-supervised Learning for Video Recognition
ZeroI2V ViT-L/1483.4ZeroI2V: Zero-Cost Adaptation of Pre-trained Transformers from Image to Video
PERF-Net (distilled S3D-G)83.2PERF-Net: Pose Empowered RGB-Flow Net
BIKE83.1Bidirectional Cross-Modal Knowledge Exploration for Video Recognition with Pre-trained Vision-Language Models
BubbleNET82.60Bubblenet: A Disperse Recurrent Structure To Recognize Activities
HAF+BoW/FV halluc82.48Hallucinating IDT Descriptors and I3D Optical Flow Features for Action Recognition with CNNs
CCS + TSN (ImageNet+Kinetics pretrained)81.9Cooperative Cross-Stream Network for Discriminative Action Representation
RepFlow-50 ([2+1]D CNN, FcF, Non-local block)81.1Representation Flow for Action Recognition
Multi-stream I3D 80.92Contextual Action Cues from Camera Sensor for Multi-Stream Action Recognition
Two-stream I3D80.9Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
MARS+RGB+FLow (64 frames, Kinetics pretrained)80.9MARS: Motion-Augmented RGB Stream for Action Recognition
Two-Stream I3D (Imagenet+Kinetics pre-training)80.7Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
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