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Neural Architecture Adaptation for Object Detection by Searching Channel Dimensions and Mapping Pre-trained Parameters
Most object detection frameworks use backbone architectures originally designed for image classification, conventionally with pre-trained parameters on ImageNet.
Precise Aerial Image Matching based on Deep Homography Estimation
In this paper, we propose a deep homography alignment network to precisely match two aerial images by progressively estimating the various transformation parameters.
Learning Free-Form Deformation for 3D Face Reconstruction from In-The-Wild Images
As FFD is based on mathematically defined basis functions, it has no limitation in representation power.
Ranked #3 on
3D Face Reconstruction
on AFLW2000-3D
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