… on both sides of the road, and rainy weather and red or yellow objects are more likely to lead
to failures. … of synthetic images for semantic segmentation of urban scenes[C]//Proc of the …

… street view image data using a fully convolutional network (FCN) as illustrated in Figure 2.
This approach employs deep learning visual image semantic segmentation software based on …

Lip reading, also known as visual speech recognition, aims to infer the content of a speech
through the motion of the speakers mouth. Lip reading is an important issue in the field of …

As one of the technologies of intelligent transportation systems, vehicle re-identification (Re-ID)
aims to retrieve the same vehicle from different monitoring scenes and plays an …

… TPH-YOLOv5: Im⁃ proved YOLOv5 based on transformer prediction head for object
detection on drone-captured scenarios[C]// Pro⁃ ceedings of the 2021 IEEE/CVF International …

… in the task of image classification, generation, segmentation. … input images, known as
adversarial examples. Accordingly, … networks provably robust to adversarial examples, known as …

… The semantic segmentation model incorrectly segmented the … In this paper,relevant
concepts on adversarial examples are … Key words adversarial examples;object detection;semantic …

… adversarial examples. This paper presents an experiment of credit adversarial examples …
generation by gan and style transfer for agar plate image segmentation[J].Comput Methods …

… Table 1 Misclassification rates of various adversarial examples for target models and AC-…
Table 5 Misclassification rates of various adversarial examples for target models and AC-…

… , escape the scope of human detection while posing a substantial … image-based adversarial
examples, resulting in notable advances in understanding and combating such adversarial …