Zobrazeno 1 - 10
of 116
pro vyhledávání: '"Lin, Xiaotian"'
This paper introduces GAgent: an Gripping Agent designed for open-world environments that provides advanced cognitive abilities via VLM agents and flexible grasping abilities with variable stiffness soft grippers. GAgent comprises three primary compo
Externí odkaz:
http://arxiv.org/abs/2403.10850
Autor:
Lei, Dongxu, Lin, Xiaotian, Yu, Xinghu, Li, Zhan, Sun, Weichao, Qiu, Jianbin, Zhuang, Songlin, Gao, Huijun
In a multitude of industrial fields, a key objective entails optimising resource management whilst satisfying user requirements. Resource management by industrial practitioners can result in a passive transfer of user loads across resource providers,
Externí odkaz:
http://arxiv.org/abs/2309.13949
Body language (BL) refers to the non-verbal communication expressed through physical movements, gestures, facial expressions, and postures. It is a form of communication that conveys information, emotions, attitudes, and intentions without the use of
Externí odkaz:
http://arxiv.org/abs/2308.08849
Task-incremental continual learning refers to continually training a model in a sequence of tasks while overcoming the problem of catastrophic forgetting (CF). The issue arrives for the reason that the learned representations are forgotten for learni
Externí odkaz:
http://arxiv.org/abs/2305.12270
Deep learning-based text classification models need abundant labeled data to obtain competitive performance. Unfortunately, annotating large-size corpus is time-consuming and laborious. To tackle this, multiple researches try to use data augmentation
Externí odkaz:
http://arxiv.org/abs/2302.00894
Temporal action segmentation (TAS) aims to classify and locate actions in the long untrimmed action sequence. With the success of deep learning, many deep models for action segmentation have emerged. However, few-shot TAS is still a challenging probl
Externí odkaz:
http://arxiv.org/abs/2207.09925
In the past decade, object detection tasks are defined mostly by large public datasets. However, building object detection datasets is not scalable due to inefficient image collecting and labeling. Furthermore, most labels are still in the form of bo
Externí odkaz:
http://arxiv.org/abs/2207.07867
As a fundamental task in natural language processing, Chinese Grammatical Error Correction (CGEC) has gradually received widespread attention and become a research hotspot. However, one obvious deficiency for the existing CGEC evaluation system is th
Externí odkaz:
http://arxiv.org/abs/2205.00217
As an extensive research in the field of natural language processing (NLP), aspect-based sentiment analysis (ABSA) is the task of predicting the sentiment expressed in a text relative to the corresponding aspect. Unfortunately, most languages lack su
Externí odkaz:
http://arxiv.org/abs/2204.00791
As the fourth largest language family in the world, the Dravidian languages have become a research hotspot in natural language processing (NLP). Although the Dravidian languages contain a large number of languages, there are relatively few public ava
Externí odkaz:
http://arxiv.org/abs/2112.01705