52 - Deep Learning - Plain Version 2020/ClipID:21186 previous clip next clip

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Recording date 2020-10-12

Via

Free

Language

English

Organisational Unit

Lehrstuhl für Informatik 5 (Mustererkennung)

Producer

Lehrstuhl für Informatik 5 (Mustererkennung)

Format

lecture

Deep Learning - Segmentation and Object Detection Part 2

In this video, we discuss ideas on how to improve on image segmentation. In particular skip connections as used in the U-Net have been applied very successfully here. Also, we, look into other advanced methods such as stacked hourglasses, convolutional pose machines, and conditional random fields in combination with deep learning.

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Additional References
nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation
X-ray-transform Invariant Anatomical Landmark Detection for Pelvic Trauma Surgery

Further Reading:
A gentle Introduction to Deep Learning

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