5
Literature and our Old Trials Most recent works in UDA for semantic segmentation, adopt an adversarial training strategy either at feature level or output level. Some works also include Style Transfer or Image Translation to obtain target-looking source images while keeping source annotation. We have tried two experiments before settling to the current setup. ▪ PIX2PIX Image-to-Image Translation. ▪ PIX2PIX-HD Image-to-Image Translation. As shown in Figure 6.a the pix2pix or image2image translation is based on GANS architecture which is composed of the Generator (G) and discriminator (D). Simply, the generator generates fake images to fool the discriminator. But the discriminator tries to discriminate the fake image by comparison with the real image to decide if the generated image is synthesized or real. GAN Architectue: [ Generator + Discriminator]
Fig6.a -
The total loss Function of generator and discriminator.
Urban Scene Segmentation for Autonomous Vehicles Using Multi-Domain Adaptation
