April APAC Computer Vision Meetup
April 27 – 10AM IST [04:30 UTC]

When
April 27, 2023 – 10AM IST [04:30 UTC]
Where
Virtual / Zoom
Agenda
- Housekeeping
- Leveraging Attention for Improved Accuracy and Robustness – Hila Chefer (Tel Aviv University)
- AI Deployments at the Edge with OpenVINO – Zhuo Wu (Intel)
- Closing Remarks
Leveraging Attention for Improved Accuracy and Robustness
In recent years, the naturally interpretable attention mechanism has become one of the most common building blocks of neural networks, allowing us to produce explanations intuitively and easily. However, the applications of such explanations beyond the scope of accountability and interpretability remain limited.
In this talk, Hila will present her latest research on leveraging attention to significantly improve the accuracy and robustness of state-of-the-art large neural networks with limited resources. This is achieved by directly manipulating the attention maps based on intuitive objectives and can be applied to a variety of tasks ranging from object classification to image generation.
Speaker: Hila Chefer is a PhD student and lecturer at Tel-Aviv University, and an intern at Google research. Her research focuses on constructing faithful explainable AI algorithms, and leveraging explanations to promote model accuracy and robustness.
Breaking the Bottleneck of AI Deployment at the Edge with OpenVINO
In this workshop, you will learn how to use less data for performant AI models. You will see this in action through real-world computer vision implementations, such as object detection and anomaly detection use cases, optimization processes, and deployment at the edge. And, you will learn how the open source OpenVINO toolkit can help reduce the gap between theoretical models and real-world implementations.
Key Takeaways:
- Train & optimize for the edge with less data
- Improve the performance of your model regardless of hardware
- Learn how OpenVINO can accelerate AI models
Speaker: Zhuo Wu is an AI software evangelist at Intel focusing on the OpenVINO toolkit. Her work ranges from deep learning technologies to 5G wireless communication technologies. She has delivered end2end machine learning and deep learning based solutions to business customers in different industries.
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