Fine-grained Action Recognition
14 papers with code • 0 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Fine-grained Action Recognition
MTL-AQA
Most implemented papers
Video Pose Distillation for Few-Shot, Fine-Grained Sports Action Recognition
jhong93/vpd
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ICCV 2021
This leads to poor accuracy when downstream tasks, such as action recognition, depend on pose.
Real-time Action Recognition for Fine-Grained Actions and The Hand Wash Dataset
In this paper we present a three-stream algorithm for real-time action recognition and a new dataset of handwash videos, with the intent of aligning action recognition with real-world constraints to yield effective conclusions.
Fine-grained Action Analysis: A Multi-modality and Multi-task Dataset of Figure Skating
MMFS, which possesses action recognition and action quality assessment, captures RGB, skeleton, and is collected the score of actions from 11671 clips with 256 categories including spatial and temporal labels.
Understanding Long Videos in One Multimodal Language Model Pass
kahnchana/mvu
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In addition to faster inference, we discover the resulting models to yield surprisingly good accuracy on long-video tasks, even with no video specific information.
