- U-Net: Widely used for medical imaging with an encoder-decoder structure.
- Mask R-CNN: Combines object detection and instance segmentation.
- DeepLabv3+: Uses atrous convolution for capturing fine details in semantic segmentation.
- HRNet: Maintains high-resolution representations, great for spatial detail.
- Swin Transformer: A vision transformer offering a balance between accuracy and efficiency.
Which one is best image segmentation algorithm now a days?
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I am doing a project on Image segmentation. Can anyone tell me what is the newest and best algorithm for Image Segmentation?
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Omega
2024 年 11 月 19 日 7:14
For state-of-the-art image segmentation, consider these top algorithms:
Choose based on task requirements, data characteristics, and available computational resources.
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