Open Set Action Recognition
5 papers with code • 2 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Open Set Action Recognition
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Libraries
Use these libraries to find Open Set Action Recognition models and implementations
UCF101
Most implemented papers
Evidential Deep Learning for Open Set Action Recognition
Different from image data, video actions are more challenging to be recognized in an open-set setting due to the uncertain temporal dynamics and static bias of human actions.
InternVideo: General Video Foundation Models via Generative and Discriminative Learning
Specifically, InternVideo efficiently explores masked video modeling and video-language contrastive learning as the pretraining objectives, and selectively coordinates video representations of these two complementary frameworks in a learnable manner to boost various video applications.
Enlarging Instance-specific and Class-specific Information for Open-set Action Recognition
jun-cen/psl
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CVPR 2023
In this paper, we begin with analyzing the feature representation behavior in the open-set action recognition (OSAR) problem based on the information bottleneck (IB) theory, and propose to enlarge the instance-specific (IS) and class-specific (CS) information contained in the feature for better performance.
SOAR: Scene-debiasing Open-set Action Recognition
yhZhai/SOAR
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ICCV 2023
The former prevents the decoder from reconstructing the video background given video features, and thus helps reduce the background information in feature learning.
Navigating Open Set Scenarios for Skeleton-based Action Recognition
kpeng9510/os-sar
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In real-world scenarios, human actions often fall outside the distribution of training data, making it crucial for models to recognize known actions and reject unknown ones.
