Fine-Grained Action Detection

2 papers with code • 0 benchmarks • 2 datasets

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Most implemented papers

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

knmac/LCDC_release ICCV 2019

Fine-grained action detection is an important task with numerous applications in robotics and human-computer interaction.

Few-Shot Temporal Action Localization with Query Adaptive Transformer

sauradip/fewshotQAT 20 Oct 2021

Further, a novel FS-TAL model is proposed which maximizes the knowledge transfer from training classes whilst enabling the model to be dynamically adapted to both the new class and each video of that class simultaneously.