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Action Recognition In Videos On Activitynet

Metrics

mAP

Results

Performance results of various models on this benchmark

Paper Title
Text4Vis (w/ ViT-L)96.9Revisiting Classifier: Transferring Vision-Language Models for Video Recognition
BIKE96.1Bidirectional Cross-Modal Knowledge Exploration for Video Recognition with Pre-trained Vision-Language Models
InternVideo2-6B95.9InternVideo2: Scaling Foundation Models for Multimodal Video Understanding
NSNet (w/ Swin-L)94.3NSNet: Non-saliency Suppression Sampler for Efficient Video Recognition
TSQNet (w/ Swin-L)93.7Temporal Saliency Query Network for Efficient Video Recognition
DSANet (w/ 3D ResNet50)90.5DSANet: Dynamic Segment Aggregation Network for Video-Level Representation Learning
MARL (w/ SEResNeXt-152)90.05Multi-Agent Reinforcement Learning Based Frame Sampling for Effective Untrimmed Video Recognition
ListenToLook89.9Listen to Look: Action Recognition by Previewing Audio
DSN87.9Dynamic Sampling Networks for Efficient Action Recognition in Videos
SMART84.4SMART Frame Selection for Action Recognition
Ada3D84.02D or not 2D? Adaptive 3D Convolution Selection for Efficient Video Recognition
RRA83.4Fine-grained Video Categorization with Redundancy Reduction Attention
P3D78.9Learning Spatio-Temporal Representation with Pseudo-3D Residual Networks
VGG19 + 393K webcam images53.8Do Less and Achieve More: Training CNNs for Action Recognition Utilizing Action Images from the Web
CD-UAR53.8Towards Universal Representation for Unseen Action Recognition
VGG1952.3Do Less and Achieve More: Training CNNs for Action Recognition Utilizing Action Images from the Web
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Action Recognition In Videos On Activitynet | SOTA | HyperAI