3 citations · 5 across the 5 of their papers we have counts for
5 papers
PC2P: Multi-Agent Path Finding via Personalized-Enhanced Communication and Crowd Perception
Guotao Li, Shaoyun Xu, Yuexing Hao +2
Distributed Multi-Agent Path Finding (MAPF) integrated with Multi-Agent Reinforcement Learning (MARL) has emerged as a prominent research focus, enabling real-time cooperative deci…
Attention Round for Post-Training Quantization
Huabin Diao, Gongyan Li, Shaoyun Xu +1
At present, the quantification methods of neural network models are mainly divided into post-training quantization (PTQ) and quantization aware training (QAT). Post-training quanti…
Memory-Based Label-Text Tuning for Few-Shot Class-Incremental Learning
Jinze Li, Yan Bai, Yihang Lou +4
Few-shot class-incremental learning(FSCIL) focuses on designing learning algorithms that can continually learn a sequence of new tasks from a few samples without forgetting old one…
Fastidious Attention Network for Navel Orange Segmentation
Xiaoye Sun, Gongyan Li, Shaoyun Xu
Deep learning achieves excellent performance in many domains, so we not only apply it to the navel orange semantic segmentation task to solve the two problems of distinguishing def…
FSD: Feature Skyscraper Detector for Stem End and Blossom End of Navel Orange
Xiaoye Sun, Gongyan Li, Shaoyun Xu
To accurately and efficiently distinguish the stem end and the blossom end of navel orange from its black spots, we propose a feature skyscraper detector (FSD) with low computation…