Understanding Loss Functions
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Blog posts
2024
Diffusion Models Extensions
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Diffusion Models Extensions
Exploring Segmentation Methods and Dealing with Noisy Labels in Segmentation
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Table of Contents
- Dealing with Noisy Labels in Segmentation
- Confidence in Segmentation
- Post-Processing
- Leveraging a Small Clean Dataset with a Larger Noisy Dataset
- Identifying Outliers Using Clustering
- MixUp in Segmentation
- Classic Segmentation Approaches
- Deep Learning Approaches
- Choosing Loss Functions for Segmentation
- Conclusion
Dealing with Noisy Labels in Segmentation
Diffusion Models for Virtual Try-On
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Virtual Try-On what is the goal?
Feature Matching: From SIFT to Transformers
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Draft Mode
Diffusion Models
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This is a Blog Post is a part of background research I did for my master thesis.
Transformers and Attention Mechanism
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This is a Blog Post is a part of background research I did for my master thesis.
2023
Small Logo Detection using 2D Object Detection methods
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This is a Blog Post derived from a work I did as part of deep learning class in UJM.
XploreR – Autonomous Exploration with Virtual Reality Visualization
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This is a Blog Post I wrote for the website of Karelics, The robotics company that supported the XploreR project. Link to the blog post is here.