Why is U-Net so popular for segmentation?
mediumAnswer
- Encoder-decoder with skip connections between symmetric layers.
- Encoder downsamples via convs + pooling; decoder upsamples via transposed convs / bilinear + convs, and concatenates the same-resolution encoder features.
- Skips preserve fine spatial detail through the low-resolution bottleneck.
- Simple, data-efficient (works on small medical datasets), still the go-to baseline for biomedical / satellite / cell segmentation.
Check yourself — multiple choice
- No skip connections
- Encoder-decoder + skip connections at each resolution — preserves fine detail, data-efficient
- Same as VGG
- Only for classification
U-Net: encoder-decoder + skips → detail preserved, small-data friendly.
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