Convolutional Neural Networks

ASLFeat 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


Paper Code Results Date Stars


Task Papers Share
3D Reconstruction 1 100.00%


Component Type
🤖 No Components Found You can add them if they exist; e.g. Mask R-CNN uses RoIAlign