Research Article
[Retracted] Rethinking Separable Convolutional Encoders for End-to-End Semantic Image Segmentation
Table 4
Comparative experimental results (CamVid test set).
| | Method | Mean IoU | Mean ACC | Overall ACC |
| | FCN-8S | 0.4137 | 0.6217 | 0.6532 | | FCN-32S | 0.4011 | 0.6349 | 0.6417 | | SegNet | 0.4231 | 0.6401 | 0.6628 | | SegNet + confrontational learning | 0.4327 | 0.6513 | 0.6803 | | SegProNet | 0.4421 | 0.6670 | 0.6947 | | SegProNet + confrontational learning | 0.4532 | 0.6721 | 0.7081 | | Improvement of SegProNet | 0.4670 | 0.6739 | 0.7269 | | Improvement of SegProNet + confrontational learning | 0.5730 | 0.6845 | 0.7531 |
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