PATENT CLAIM ANALYSIS

Application Number: 15746237
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-07
Patent Classification: ["382", "118000"]

Abstract:
Various image processing may benefit from the application deep convolutional neural networks. For example, a deep multi-task learning framework may assist face detection, for example when combined with landmark localization, pose estimation, and gender recognition. An apparatus can include a first module of at least three modules configured to generate class independent region proposals to provide a region. The apparatus can also include a second module of the at least three modules configured to classify the region as face or non-face using a multi-task analysis. The apparatus can further include a third module configured to perform post-processing on the classified region.

Claim (Index 18):
The apparatus of  claim 17 , wherein the second module further comprises a network configured to fuse the three fully connected layers.

Metadata:
- Claim Count in Document: 9.0
- Percentile: 86.0
- Lexical Diversity: 1.61765
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15230229', '15724256', '15789957', '15657109', '15836549']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3231887159263187
- 35 USC 102 Novelty (BERT): 0.4953350940763804
- Combined Prediction Score: 0.3404033537413249
- Mean Citation Score: 154.95658799999995
- Max Citation Score: 168.96993999999995
- Similarity Product: 103.28797920138832

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test