… related works on both scene segmentation and adversarial attack are first … scene segmentation.
In Section IV, we present the experiments on attacking several latest scene segmentation …

… of adversarial attacks on modern semantic segmentation … naturally implement recently
proposed adversarial defenses. Our … Moreover, in the shorter term, we show which segmentation …

… -related tasks, such as semantic segmentation of traffic scenes using nothing but the red-green-…
of CNNs used for semantic segmentation with respect to adversarial attacks, and share …

… This demonstrates the effectiveness of our unrestricted adversarial attacks for segmentation
… Segmentation-based urban traffic scene understanding. In BMVC, volume 1, page 2. …

… We apply SegPGD as the underlying attack method for segmentation adversarial training.
The adversarial training with our SegPGD achieves state-of-the-art performance on the …

… , semantic image segmentation is an essential method of scene understanding that can be
… in the adversarial attack was made. 3. Through experiments, we show that this adversarial …

… focuses on instance segmentation understanding of rail drivable scenes. The dataset …
Our objective is to quantify the pixel-wise accuracy of object labels, similar to semantic scene …

… segmentation result of the adversarial … segmentation network is misled to perceive the
adversarial point cloud as the reference point cloud (the scene we desired to achieve the attack …

… Segmentation results from our method on adversarial samples are almost the same as …
of our model against adversarial attacks. Under adversarial attacks, our method produces …

… The scene-specific attack was performed on the same set of models as defined earlier. … As
described in Section 3.4, the patch is optimized to be adversarial for a specific urban scene by …