Recognizing Actions Through Action-Specific Person Detection

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How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Incremental Object Detection via Meta-Learning (2020, neutral): “Extending our methodology to single stage detectors [57], [58], [59] and incremental versions of related problem settings such as action recognition [60], object counting [61] and instance segmentation [62] are interesting and important research directions.”
SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation (2020, background): “Deep learning has achieved great success in a variety of computer vision tasks [20,12,43,35,45,44,25,24,53,52].”
Learning Rich Features at High-Speed for Single-Shot Object Detection (2019, methodology): “Modern detectors can be divided into two categories: (i) single-stage methods [21, 26, 27, 28, 3, 4] and (ii) two-stage approaches [29, 17, 14, 11, 31].”
Enriched Feature Guided Refinement Network for Object Detection (2019, background): “Object detection [33, 27, 7, 28, 35] is a challenging and active computer vision problem.”