CV Team
Team delivers the methods of Computer Vision and Deep Learning
BUSINESS CASES
Dataset Processing (augmentation, distillation, etc)
CV pipeline inference and training optimization
Photo- and Video-based processing pipelines creation
TASKS CLASSES
- Image/Video сaptioning, Keypoints Detection&Tracking
- Generative models such as GAN, AutoEncoders, etc
- Neural Architecture Search & SuperNets
- Zero-shot approach
- Img2img architectures such as PyNet
CURRENT CHALLENGES
- Zero-shot methods for solving the main part of CV problem statement such as img2img
- Decrease of data needed for training the CV methods
- SotA models usage in real processes for improving the business metrics
ACHIEVEMENTS
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