Road Anomaly Segmentation Based on Pixel-wise Logit Variance with Iterative Background Highlighting
Dongkun Lee,Han-Gyu Kim,Ho-Jin Choi,Dongkun Lee,Han-Gyu Kim,Ho-Jin Choi
Anomaly segmentation on the urban landscape scene is an important task in autonomous driving. This process exploits a pre-trained semantic segmentation network to estimate anomalous regions. Anomaly segmentation approaches implemented with extra requirements such as out-of-domain data, extra network, or network retraining might increase the computational cost or degradation of segmentation perform...
