Domain Adaptation Methods for Lab-to-Field Human Context Recognition Human context recognition (HCR) using sensor data is a crucial task in Context-Aware (CA) applications in domains such as healthcare and security. Supervis... A Alajaji,W Gerych,L Buquicchio,... - 《Sensors》 被引量: ...
Tell me what you see: A zero-shot action recognition method based on natural language descriptions Using these representations, we build a shared semantic space employing BERT-based embedders pre-trained in the paraphrasing task on multiple text datasets... Estevam, Valter,Laroca, Rayson,Pedrini...
Dynamic neuro-symbolic knowledge graph construction for zero-shot commonsense question answering. In Proceedings of the AAAI conference on Artificial Intelligence, volume 35, pages 4923–4931, 2021. [6] Joao Carreira and Andrew Zisserman. Quo vadis, action recognition? a new model and the kinetics ...
Retrospective Object Recognition. While completing tasks, the agent often needs to interact with the same object in multiple time steps. For example, to move an apple with a plate, the agent has to interact with the plate twice: 1) put the appl...
Instead, we propose applying traditional techniques for incorporating the spatial context of the queries, such as named entity recognition (NER) and geocoding such as that proposed by [44], and ranking results based on the geocoded entities in the query and the bounding boxes present in the ...
4. Context-Aware Stress Recognition System 4.1. Platform Description Our solution was integrated into the Internet of Things (IoT) platform named Occapi and consists of four main building blocks, presented in Figure 4: Presence Sources (1) that capture real life information, the Sensor Event ...
In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, WA, USA, 13–19 June 2020; pp. 11531–11539. [CrossRef] 37. Cheng, G.; Li, R.; Lang, C.; Han, J. Task-wise attention guided part complementary learning for few-shot image ...
In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Salt Lake City, UT, USA, 18–23 June 2018; pp. 8080–8089. [Google Scholar] Cai, S.; Shu, Y.; Wang, W. Dynamic routing networks. In Proceedings of the IEEE/CVF Winter Conference on Applications of ...