Atomic action recognition
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Benchmarks
CATER
Most implemented
Towards Holistic Surgical Scene Understanding
LSTC: Boosting Atomic Action Detection with Long-Short-Term Context
Semi-Supervised Few-Shot Atomic Action Recognition
Papers
Deep set conditioned latent representations for action recognition
In recent years multi-label, multi-class video action recognition has gained significant popularity. While reasoning over temporally connected atomic actions is mundane for intelligent species, standard artificial neural…
Action RecognitionAtomic action recognitionComposite action recognitionTemporal Action LocalizationTowards Holistic Surgical Scene Understanding
Most benchmarks for studying surgical interventions focus on a specific challenge instead of leveraging the intrinsic complementarity among different tasks. In this work, we present a new experimental framework towards h…
Action RecognitionAtomic action recognitionScene UnderstandingSurgical phase recognitionHAA4D: Few-Shot Human Atomic Action Recognition via 3D Spatio-Temporal Skeletal Alignment
Human actions involve complex pose variations and their 2D projections can be highly ambiguous. Thus 3D spatio-temporal or 4D (i.e., 3D+T) human skeletons, which are photometric and viewpoint invariant, are an excellent …
Action RecognitionAtomic action recognitionLSTC: Boosting Atomic Action Detection with Long-Short-Term Context
In this paper, we place the atomic action detection problem into a Long-Short Term Context (LSTC) to analyze how the temporal reliance among video signals affect the action detection results. To do this, we decompose the…
Action DetectionAction RecognitionAtomic action recognitionSemi-Supervised Few-Shot Atomic Action Recognition
Despite excellent progress has been made, the performance on action recognition still heavily relies on specific datasets, which are difficult to extend new action classes due to labor-intensive labeling. Moreover, the h…
Action RecognitionAtomic action recognitionDiversity