Zobrazeno 1 - 10
of 55
pro vyhledávání: '"BAI Xiuxiu"'
Query-based models are extensively used in 3D object detection tasks, with a wide range of pre-trained checkpoints readily available online. However, despite their popularity, these models often require an excessive number of object queries, far surp
Externí odkaz:
http://arxiv.org/abs/2412.02054
Autor:
Wang, Anbang, Mei, Difei, Zhang, Zhichao, Bai, Xiuxiu, Yao, Ran, Fang, Zewen, Hu, Min, Cao, Zhirui, Sun, Haitao, Guo, Yifeng, Zhou, Hongyao, Guo, Yu
This paper presents ReverseNER, a framework aimed at overcoming the limitations of large language models (LLMs) in zero-shot Named Entity Recognition (NER) tasks, particularly in cases where certain entity types have ambiguous boundaries. ReverseNER
Externí odkaz:
http://arxiv.org/abs/2411.00533
Point cloud analysis has achieved significant development and is well-performed in multiple downstream tasks like point cloud classification and segmentation, etc. Being conscious of the simplicity of the position encoding structure in Transformer-ba
Externí odkaz:
http://arxiv.org/abs/2408.11567
Visual long-range interaction refers to modeling dependencies between distant feature points or blocks within an image, which can significantly enhance the model's robustness. Both CNN and Transformer can establish long-range interactions through lay
Externí odkaz:
http://arxiv.org/abs/2303.05695
Artificial neural networks have realized incredible successes at image recognition, but the underlying mechanism of visual space representation remains a huge mystery. Grid cells (2014 Nobel Prize) in the entorhinal cortex support a periodic represen
Externí odkaz:
http://arxiv.org/abs/2205.10081
Autor:
Zhou, Xi, Wang, Xinxin, Ma, Haiqin, Zhang, Jianjian, Wang, Xiaomei, Bai, Xiuxiu, Zhang, Li, Long, Jia, Chen, Jiakuan, Le, Hongbo, He, Wenjie, Zhao, Shen, Xia, Jun, Yang, Guang
Publikováno v:
In Computers in Biology and Medicine September 2024 180
Publikováno v:
In Neural Networks April 2024 172
Detecting object skeletons in natural images presents challenging, due to varied object scales, the complexity of backgrounds and various noises. The skeleton is a highly compressing shape representation, which can bring some essential advantages but
Externí odkaz:
http://arxiv.org/abs/2012.03003
Publikováno v:
In Neural Networks May 2023 162:11-20
Publikováno v:
In Neural Networks December 2020 132:416-427