Learning Motion in Feature Space: Locally-Consistent Deformable Convolution Networks for Fine-Grained Action Detection

ICCV 2019 Khoi-Nguyen C. MacDhiraj JoshiRaymond A. YehJinjun XiongRogerio S. FerisMinh N. Do

Fine-grained action detection is an important task with numerous applications in robotics and human-computer interaction. Existing methods typically utilize a two-stage approach including extraction of local spatio-temporal features followed by temporal modeling to capture long-term dependencies... (read more)

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