Hourglass-shapenetwork based semantic segmentation for high resolution Aerial imagery. Remote Sens. 9(6), 522 (2017). 52. Mou, L., Hua, Y. & Zhu, X. X. Relation matters: Relational context-aware fully convoluti
The Semantic Web, as originally envisioned, is a system that enables machines to "understand" and respond to complex human requests based on their meaning. Such an "understanding" requires that the relevant information sources be semantically structured."2 OWL and RDF Unfortunately, the original ...
According to the modular design method, the encoding and recovering process of information is realized at the semantic level, independent of other modules in the system, such as channel coding. (2) Semantic-aware joint source–channel encoding/decoding. According to the integrated design method, so...
Furthermore, according to various example embodiments, modules described herein as being implemented within a single machine, database, or device may be distributed across multiple machines, databases, or devices.FIG. 4 is a flowchart illustrating a method 400 for generating a texture map that ...
“There is this thing of sound and agency, be it by humans or machines acting. This is something which affects me a lot”. (DesRes). “The sound should convey the urgency of the situation and the local liability”. “I appreciate the right sound for an engine, but basically, I ...
Boyce Rensberger, The Quest for Machines that not only Listen but also Understand, The Washington Post, May 3, 1993. Bates, Madeleine et al., Overview of the ARPA Human Language Technology Workshop, BBN Systems and Technologies, 2 pages, undated. Rudnicky, Alexander, Session 1: Spoken ...
VIDEO codingAUTOMATED teller machinesThis paper investigates the capability of plain Vision Transformers (ViTs) for semantic segmentation using the encoder鈥揹ecoder framework and introduce SegViTv2. In this study, we introduce a novel Attention-to-Mask (ATM) module to design a li...
Concept-Aware Video Captioning: Describing Videos with Effective Prior Information. IEEE Trans. Image Process. 2023, 32, 5366–5378. [Google Scholar] [CrossRef] Chen, H.; Li, J.; Frintrop, S.; Hu, X. The MSR-Video to Text dataset with clean annotations. Comput. Vis. Image Underst. ...
This is in stark contrast with today’s machine capabilities; machines only receive navigation instructions with Cartesian coordinate systems, and do not have inference algorithms to achieve high-level decision making at multiple levels of abstraction. Figure 1. The comparison of the scene-understanding...
Concept-Aware Video Captioning: Describing Videos with Effective Prior Information. IEEE Trans. Image Process. 2023, 32, 5366–5378. [Google Scholar] [CrossRef] Chen, H.; Li, J.; Frintrop, S.; Hu, X. The MSR-Video to Text dataset with clean annotations. Comput. Vis. Image Underst. ...