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Action Recognition In Videos On Activitynet

Metrics

mAP

Results

Performance results of various models on this benchmark

		Paper Title	Repository
Text4Vis (w/ ViT-L)	96.9	Revisiting Classifier: Transferring Vision-Language Models for Video Recognition
BIKE	96.1	Bidirectional Cross-Modal Knowledge Exploration for Video Recognition with Pre-trained Vision-Language Models
InternVideo2-6B	95.9	InternVideo2: Scaling Foundation Models for Multimodal Video Understanding
NSNet (w/ Swin-L)	94.3	NSNet: Non-saliency Suppression Sampler for Efficient Video Recognition	-
TSQNet (w/ Swin-L)	93.7	Temporal Saliency Query Network for Efficient Video Recognition	-
DSANet (w/ 3D ResNet50)	90.5	DSANet: Dynamic Segment Aggregation Network for Video-Level Representation Learning
MARL (w/ SEResNeXt-152)	90.05	Multi-Agent Reinforcement Learning Based Frame Sampling for Effective Untrimmed Video Recognition	-
ListenToLook	89.9	Listen to Look: Action Recognition by Previewing Audio
DSN	87.9	Dynamic Sampling Networks for Efficient Action Recognition in Videos	-
SMART	84.4	SMART Frame Selection for Action Recognition	-
Ada3D	84.0	2D or not 2D? Adaptive 3D Convolution Selection for Efficient Video Recognition	-
RRA	83.4	Fine-grained Video Categorization with Redundancy Reduction Attention	-
P3D	78.9	Learning Spatio-Temporal Representation with Pseudo-3D Residual Networks
VGG19 + 393K webcam images	53.8	Do Less and Achieve More: Training CNNs for Action Recognition Utilizing Action Images from the Web	-
CD-UAR	53.8	Towards Universal Representation for Unseen Action Recognition	-
VGG19	52.3	Do 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