By applying this reconstruction process recursively, the in- tegrated network is able to classify occluded faces robustly. To confirm the effectiveness of this ...

The paper describes how to improve the robustness to occlusions in face recognition and detection. We propose a neural network architecture which integrates ...

This paper describes how to improve the robustness to occlusions in face recognition and detection. We propose a neural network architecture which ...

This paper describes how to improve the robustness to occlusions in face recognition and detection. We propose a neural network architecture.

AUTO-ASSOCIATIVE NETWORK AND RECURSIVE DATA RECONSTRUCTION This section introduces an auto-associative network which performs dimensionality reduction and ...

Recognition and detection of occluded faces by a neural network classifier with recursive data reconstruction. Kurita T., Pic M., Takahashi T.

Mar 23, 2023 · Bibliographic details on Recognition and Detection of Occluded Faces by a Neural Network Classifier with Recursive Data Reconstruction.

This paper describes how to improve the robustness to occlusions in face recognition and detection. We propose a neural network architecture which ...

Recognition and Detection of Occluded Faces by a Neural Network Classifier with Recursive Data Reconstruction. Takio Kurita Mickael Pic Takashi Takahashi.

This paper proposes a neural network classifier which can automatically detect the occluded regions in the given image and replace that regions with estimated ...