ID feature, and the class predictions of OOD samples are largely determined by it.

For the synthetic-to-real domain generalization (DG), we use one of the synthetic datasets (GTAV [12] or SYNTHIA [13]) as the source domain and evaluate the model performance on three real-world datasets (CityScapes [2], BDD-100K [16], and Mapillary [11]). GTAV [12] contains 24,966 images with the size of 1914 1052. It is splited into 12,403, 6,382, and 6,181 images for training, validating, and testing. SYNTHIA [13] contains 9,400 images of 960 720, where 6,580 images are used for training. We use the validation sets of the three real-world datasets for evaluation.

The Ministry of Information and Communications (MIC) launched the akaBot platform – corporate process automation – in Hanoi, earlier this week. A press release said that the technology, akaBot is the FPT's third make-in-Vietnam platform. It is among 33 other platforms selected by MIC to introduce and sponsor media in the "Friday of Technology" programme, to serve the National Digital Transformation Programme to 2025, with the vision to 2030, which was approved by the Prime Minister in June. According to the development team, akaBot is a robotic process automation (RPA) solution for businesses with "virtual assistants" capable of simulating human manipulation, helping perform repetitive tasks in large numbers. With the core technology of RPA, akaBot is capable of integrating artificial intelligence (AI) and optical character recognition (OCR) technology to build comprehensive, non-invasive intelligent automation solutions, which can interact with all business software such as Word and Excel.