PATENT CLAIM ANALYSIS

Application Number: 15862602
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-02
Patent Classification: ["382", "173000"]

Abstract:
Detecting objects in an image includes: extracting core instance features from the image; calculating feature maps at multiscale resolutions from the core instance features; calculating detection boxes from the core instance features; calculating segmentation masks for each detection box of the detection boxes at the multiscale resolutions of the feature maps; merging the segmentation masks at the multiscale resolutions to generate an instance mask for each object detected in the image; refining the confidence scores of the merged segmentation masks by auxiliary networks calculating pixel level metrics; and outputting the instance masks as the detected objects.

Claim (Index 14):
A system for detecting instances of objects in an input image, the system comprising:\n a core instance feature extraction network configured to generate a plurality of core instance features from the input image; a multiscale resolution feature map calculator configured to calculate a plurality of feature maps at multiscale resolutions from the core instance features; a detection box calculator configured to calculate a plurality of detection boxes from the core instance features, each of the detection boxes corresponding to an object detected in the image; a segmentation mask prediction network configured to calculate a plurality of segmentation masks for each detection box of the detection boxes at the multiscale resolutions of the feature maps; a pyramid segmentation network configured to merge the plurality of segmentation masks at the multiscale resolutions to generate an instance mask for each object detected in the input image, the instance mask being associated with a confidence score; and an output module configured to output the instance masks as the detected instances of the objects in the input image.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 86.0
- Lexical Diversity: 2.16667
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15296845', '15230229', '15693446', '14801839', '15224487']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2973478902504159
- 35 USC 102 Novelty (BERT): 0.4918867900448204
- Combined Prediction Score: 0.3168017802298564
- Mean Citation Score: 226.923176
- Max Citation Score: 242.16208
- Similarity Product: 200.1780640107345

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