MARINE MINED: FEW-SHOT LEARNING FOR UNDERSEA MINE COUNTERMEASURES (MCM)
Award amount
$139,999Program and phase
SBIR · Phase IAward year
2024Award details
- Awarding agency
- Department of Defense
- Branch
- Navy
- Recipient company
- KITWARE INC
- Proposal award date
- 2024-09-09
- Contract end date
- 2025-03-08
- UEI
- DK6LPWMS5LP5
- Solicitation number
- 24.1
- Topic code
- N241-025
Research abstract
Technology keywords
Not reported
Other awards by this recipient
Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.
- Real-Time Automated Patient Identification and Documentation - TC3 (RAPID-TC3)
- FIELDViewR: Field-Focused Inspection, Engineering, and Logistics Digital Viewer for Roadways
- Bridging the Gap in Prolonged Field Care: Integrated Visualization and Predictive Modeling for Extended Combat Casualty Training
- Accelerating Design of ML and AI Experiments in Scientific Simulation
- GU3SS: Generative Unbiased 3D Semantic Segmentation
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- Sonar Adapted Low-shot Model for Ordnance Neutralization
- AAI/MLT for ATR USing small/reduced Data sets
- Low-shot Algorithm for Mine Data Augmentation (LAMDA)
- MineDL: Efficient Mine Detection and Localization Using Advanced YOLO and LSTM with Few-Shot Learning
Research funding history
243 SBIR/STTR records share this UEI (1998–2025). Reported award amounts total $140,194,302. Reported amounts are not federal obligations.
Phases: Phase I, Phase II, Phase II – Direct to Phase II
Agencies: Department of Defense, Department of Health and Human Services, Department of Energy, National Science Foundation, National Aeronautics and Space Administration, Department of Commerce