41 citations · 51 across the 10 of their papers we have counts for
9 papers · 1 filter
FRFDet: Efficient UAV Small Object Detection with Symmetric Sampling and Scalable Fusion
Yunzhong Si, Huiying Xu, Xinzhong Zhu +4
Small object detection in Unmanned Aerial Vehicle (UAV) imagery remains challenging under adverse conditions, including complex weather, low illumination, and sensor noise. These c…
Fore-Mamba3D: Mamba-based Foreground-Enhanced Encoding for 3D Object Detection
Zhiwei Ning, Xuanang Gao, Jiaxi Cao +5
Linear modeling methods like Mamba have been merged as the effective backbone for the 3D object detection task. However, previous Mamba-based methods utilize the bidirectional enco…
Point Cloud Quantization through Multimodal Prompting for 3D Understanding
Hongxuan Li, Wencheng Zhu, Huiying Xu +2
Vector quantization has emerged as a powerful tool in large-scale multimodal models, unifying heterogeneous representations through discrete token encoding. However, its effectiven…
Towards Single-Source Domain Generalized Object Detection via Causal Visual Prompts
Chen Li, Huiying Xu, Changxin Gao +3
Single-source Domain Generalized Object Detection (SDGOD), as a cutting-edge research topic in computer vision, aims to enhance model generalization capability in unseen target dom…
Center-Oriented Prototype Contrastive Clustering
Shihao Dong, Xiaotong Zhou, Yuhui Zheng +2
Contrastive learning is widely used in clustering tasks due to its discriminative representation. However, the conflict problem between classes is difficult to solve effectively. E…
Multi-view Clustering via Bi-level Decoupling and Consistency Learning
Shihao Dong, Yuhui Zheng, Huiying Xu +1
Multi-view clustering has shown to be an effective method for analyzing underlying patterns in multi-view data. The performance of clustering can be improved by learning the consis…
RemDet: Rethinking Efficient Model Design for UAV Object Detection
Chen Li, Rui Zhao, Zeyu Wang +2
Object detection in Unmanned Aerial Vehicle (UAV) images has emerged as a focal area of research, which presents two significant challenges: i) objects are typically small and dens…
SCSA: Exploring the Synergistic Effects Between Spatial and Channel Attention
Yunzhong Si, Huiying Xu, Xinzhong Zhu +4
Channel and spatial attentions have respectively brought significant improvements in extracting feature dependencies and spatial structure relations for various downstream vision t…
Mamba YOLO: A Simple Baseline for Object Detection with State Space Model
Zeyu Wang, Chen Li, Huiying Xu +2
Driven by the rapid development of deep learning technology, the YOLO series has set a new benchmark for real-time object detectors. Additionally, transformer-based structures have…