computer-vision
Facial Landmark Detection
3260 papers • 126 benchmarks • 313 datasets
Facial Landmark Detection is a computer vision task that involves detecting and localizing specific points or landmarks on a face, such as the eyes, nose, mouth, and chin. The goal is to accurately identify these landmarks in images or videos of faces in real-time and use them for various applications, such as face recognition, facial expression analysis, and head pose estimation. ( Image credit: Style Aggregated Network for Facial Landmark Detection )
(Image credit: Papersgraph)
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High-Resolution Representations for Labeling Pixels and Regions
Ke Sun, Bin Xiao, Dong Liu, Jingdong Wang, Tianheng Cheng, Borui Jiang, Yadong Mu, Xinggang Wang, Wenyu Liu, Yang Zhao•Mon Apr 08 2019
A simple modification is introduced to augment the high-resolution representation by aggregating the (upsampled) representations from all the parallel convolutions rather than only the representation from thehigh-resolution convolution, which leads to stronger representations, evidenced by superior results.
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