Open Set Action Recognition
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Benchmarks
UCF-HMDB
UCF101-MiTv2
Most implemented
InternVideo: General Video Foundation Models via Generative and Discriminative Learning
Evidential Deep Learning for Open Set Action Recognition
Navigating Open Set Scenarios for Skeleton-based Action Recognition
SOAR: Scene-debiasing Open-set Action Recognition
Papers
Navigating Open Set Scenarios for Skeleton-based Action Recognition
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. However, using pure skeleton data in such open…
Action RecognitionActivity Recognitioncross-modal alignmentNovelty Detection+4SOAR: Scene-debiasing Open-set Action Recognition
Deep learning models have a risk of utilizing spurious clues to make predictions, such as recognizing actions based on the background scene. This issue can severely degrade the open-set action recognition performance whe…
Action RecognitionDecoderOpen Set Action RecognitionScene ClassificationEnlarging Instance-specific and Class-specific Information for Open-set Action Recognition
Open-set action recognition is to reject unknown human action cases which are out of the distribution of the training set. Existing methods mainly focus on learning better uncertainty scores but dismiss the importance of…
Action RecognitionOpen Set Action RecognitionOpen Set Action Recognition via Multi-Label Evidential Learning
Existing methods for open-set action recognition focus on novelty detection that assumes video clips show a single action, which is unrealistic in the real world. We propose a new method for open set action recognition a…
Action DetectionAction RecognitionNovelty DetectionOpen Set Action RecognitionReconstructing Humpty Dumpty: Multi-feature Graph Autoencoder for Open Set Action Recognition
Most action recognition datasets and algorithms assume a closed world, where all test samples are instances of the known classes. In open set problems, test samples may be drawn from either known or unknown classes. Exis…
Action RecognitionOpen Set Action RecognitionInternVideo: General Video Foundation Models via Generative and Discriminative Learning
The foundation models have recently shown excellent performance on a variety of downstream tasks in computer vision. However, most existing vision foundation models simply focus on image-level pretraining and adpation, w…
Action ClassificationAction RecognitionContrastive LearningOpen Set Action Recognition+8