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Found 4 papers, 1 papers with code
Pushing the Envelope for Depth-Based Semi-Supervised 3D Hand Pose Estimation with Consistency Training
The teacher network is trained using both the available labeled and unlabeled samples.
Ranked #3 on
Hand Pose Estimation
on MSRA Hands
TriHorn-Net: A Model for Accurate Depth-Based 3D Hand Pose Estimation
The second innovation is PixDropout, which is, to the best of our knowledge, the first appearance-based data augmentation method for hand depth images.
Ranked #1 on
Hand Pose Estimation
on MSRA Hands
Content-based image retrieval using Mix histogram
This paper presents a new method to extract image low-level features, namely mix histogram (MH), for content-based image retrieval.
Persian Signature Verification using Fully Convolutional Networks
Fully convolutional networks (FCNs) have been recently used for feature extraction and classification in image and speech recognition, where their inputs have been raw signal or other complicated features.
