Computer Vision Research Internship: Image to Sequence Modeling (e.g. Transformers)
Tasks
- Conduct systematic experiments and ablations
- Design ML architectures for structured visual data
- Improve robustness and generalization
- Perform error analysis to validate hypotheses
- Train and evaluate neural networks
Perks/Benefits
Skills/Tech-stack
Attention Mechanisms | Computer Vision | Convolutional Neural Networks | Encoder-Decoder Models | Encoder-decoder | Machine Learning | Neural Networks | PyTorch | Python | Sequence Modeling | Transformer
Education
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