Fine-Grained Action Detection
9 papers with code • 0 benchmarks • 2 datasets
Benchmarks
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GTEA
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Latest papers with no code
Follow the Attention: Combining Partial Pose and Object Motion for Fine-Grained Action Detection
We empirically show the capability of our approach by achieving state-of-the-art results on MERL shopping dataset.
Progressively Parsing Interactional Objects for Fine Grained Action Detection
Fine grained video action analysis often requires reliable detection and tracking of various interacting objects and human body parts, denoted as interactional object parsing.
A Multi-Stream Bi-Directional Recurrent Neural Network for Fine-Grained Action Detection
We present a multi-stream bi-directional recurrent neural network for fine-grained action detection.
Multiple Granularity Analysis for Fine-grained Action Detection
We propose to decompose the fine-grained human activity analysis problem into two sequential tasks with increasing granularity.
