Invention Application
- Patent Title: CROSS-TASK DISTILLATION TO IMPROVE DEPTH ESTIMATION
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Application No.: PCT/US2022/073141Application Date: 2022-06-24
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Publication No.: WO2022272298A1Publication Date: 2022-12-29
- Inventor: CAI, Hong , MATAI, Janarbek , BORSE, Shubhankar Mangesh , ZHANG, Yizhe , ANSARI, Amin , PORIKLI, Fatih Murat
- Applicant: QUALCOMM INCORPORATED
- Applicant Address: ATTN: International IP Administration
- Assignee: QUALCOMM INCORPORATED
- Current Assignee: QUALCOMM INCORPORATED
- Current Assignee Address: ATTN: International IP Administration
- Agency: ROBERTS, Steven E. et al.
- Priority: US17/808,520 2022-06-23
- Main IPC: G06T7/50
- IPC: G06T7/50 ; G06T7/11 ; G06N3/045 ; G06N3/08 ; G06T2207/10004 ; G06T2207/20081 ; G06T2207/20084 ; G06T2207/30252
Abstract:
Certain aspects of the present disclosure provide techniques for cross-task distillation. A depth map is generated by processing an input image using a first machine learning model, and a segmentation map is generated by processing the depth map using a second machine learning model. A segmentation loss is computed based on the segmentation map and a ground-truth segmentation map, and the first machine learning model is refined based on the segmentation loss.
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