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pro vyhledávání: '"FU Yongjian"'
Different from universal object detection, referring expression comprehension (REC) aims to locate specific objects referred to by natural language expressions. The expression provides high-level concepts of relevant visual and contextual patterns, w
Externí odkaz:
http://arxiv.org/abs/2306.04451
With the rapid development of social media, tremendous videos with new classes are generated daily, which raise an urgent demand for video classification methods that can continuously update new classes while maintaining the knowledge of old videos w
Externí odkaz:
http://arxiv.org/abs/2106.15827
With the memory-resource-limited constraints, class-incremental learning (CIL) usually suffers from the "catastrophic forgetting" problem when updating the joint classification model on the arrival of newly added classes. To cope with the forgetting
Externí odkaz:
http://arxiv.org/abs/2008.01411
As an important and challenging problem, multi-domain learning (MDL) typically seeks for a set of effective lightweight domain-specific adapter modules plugged into a common domain-agnostic network. Usually, existing ways of adapter plugging and stru
Externí odkaz:
http://arxiv.org/abs/2007.12415
As a challenging problem, few-shot class-incremental learning (FSCIL) continually learns a sequence of tasks, confronting the dilemma between slow forgetting of old knowledge and fast adaptation to new knowledge. In this paper, we concentrate on this
Externí odkaz:
http://arxiv.org/abs/2006.15524
Different from many other attributes, facial expression can change in a continuous way, and therefore, a slight semantic change of input should also lead to the output fluctuation limited in a small scale. This consistency is important. However, curr
Externí odkaz:
http://arxiv.org/abs/2004.12725
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Airborne Laser Scanning (ALS) point clouds have complex structures, and their 3D semantic labeling has been a challenging task. It has three problems: (1) the difficulty of classifying point clouds around boundaries of objects from different classes,
Externí odkaz:
http://arxiv.org/abs/2004.08596
Publikováno v:
In Pattern Recognition March 2022 123
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