R-CNNs for Pose Estimation and Action Detection

2014-06-19 · Georgia Gkioxari, Bharath Hariharan, Ross Girshick, Jitendra Malik

We present convolutional neural networks for the tasks of keypoint (pose) prediction and action classification of people in unconstrained images. Our approach involves training an R-CNN detector with loss functions depending on the task being tackled. We evaluate our method on the challenging PASCAL VOC dataset and compare it to previous leading approaches. Our method gives state-of-the-art results for keypoint and action prediction. Additionally, we introduce a new dataset for action detection, the task of simultaneously localizing people and classifying their actions, and present results using our approach.

📄 PDF Abstract BibTeX arXiv:1406.5212

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Tasks

Action Classification Action Detection General Classification Pose Estimation Pose Prediction Prediction

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