Convolutional Neural Networks
ASLFeat
Introduced by Luo et al. in ASLFeat: Learning Local Features of Accurate Shape and LocalizationASLFeat is a convolutional neural network for learning local features that uses deformable convolutional networks to densely estimate and apply local transformation. It also takes advantage of the inherent feature hierarchy to restore spatial resolution and low-level details for accurate keypoint localization. Finally, it uses a peakiness measurement to relate feature responses and derive more indicative detection scores.
Source: ASLFeat: Learning Local Features of Accurate Shape and Localization
Papers
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Usage Over Time
Components
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| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
