Deep Learning Approaches to Image Segmentation
GitHub repository: https://github.com/andandandand/practical-computer-vision
0:01 Approaches to Image Segmentation
0:07 Learning goals
0:40 Semantic, Instance, and Panoptic Segmentation
2:33 Example of instance segmentation with YOLO11
3:30 Semantic segmentation with U-Net
4:54 Instance segmentation with Mask R-CNN
5:57 Mask2Former: unified approach for labeled segmentation
6:37 Promptable masks with Segment Anything (SAM)
7:42 Class-agnostic segmentation with Segment Anything (SAM)
8:43 Creating labeled masks with object detectors and SAM
9:38 Summary
Видео Deep Learning Approaches to Image Segmentation канала Antonio Rueda-Toicen
0:01 Approaches to Image Segmentation
0:07 Learning goals
0:40 Semantic, Instance, and Panoptic Segmentation
2:33 Example of instance segmentation with YOLO11
3:30 Semantic segmentation with U-Net
4:54 Instance segmentation with Mask R-CNN
5:57 Mask2Former: unified approach for labeled segmentation
6:37 Promptable masks with Segment Anything (SAM)
7:42 Class-agnostic segmentation with Segment Anything (SAM)
8:43 Creating labeled masks with object detectors and SAM
9:38 Summary
Видео Deep Learning Approaches to Image Segmentation канала Antonio Rueda-Toicen
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11 апреля 2025 г. 14:06:20
00:10:34
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