170 citations
- Nanjing UniversityCN8 papers
- Southeast UniversityCN7 papers
- State Key Laboratory of Hydrology-Water Resources and Hydraulic EngineeringCN7 papers
- Centre National de la Recherche ScientifiqueFR6 papers
- Nanjing University of Science and TechnologyCN6 papers
- Tongji UniversityCN6 papers
- Chinese Academy of SciencesCN5 papers
- Monash UniversityAU5 papers
- Collaborative Innovation Center of Advanced MicrostructuresCN4 papers
- Duke UniversityUS4 papers
- Hubei Normal UniversityCN4 papers
- University of Chinese Academy of SciencesCN4 papers
14 papers · 1 filter
MT-CYP-Net: Multi-Task Network for Pixel-Level Crop Yield Prediction Under Very Few Samples
Shenzhou Liu, Di Wang, Haonan Guo +2
Accurate and fine-grained crop yield prediction plays a crucial role in advancing global agriculture. However, the accuracy of pixel-level yield estimation based on satellite remot…
DPNet: Dynamic Pooling Network for Tiny Object Detection
Luqi Gong, Haotian Chen, Yikun Chen +4
In unmanned aerial systems, especially in complex environments, accurately detecting tiny objects is crucial. Resizing images is a common strategy to improve detection accuracy, pa…
KAN-HyperpointNet for Point Cloud Sequence-Based 3D Human Action Recognition
Zhaoyu Chen, Xing Li, Qian Huang +3
Point cloud sequence-based 3D action recognition has achieved impressive performance and efficiency. However, existing point cloud sequence modeling methods cannot adequately balan…
Nondestructive chicken egg fertility detection using CNN-transfer learning algorithms
Shoffan Saifullah, Rafal Drezewski, Anton Yudhana +7
This study explored the application of CNN-Transfer Learning for nondestructive chicken egg fertility detection for precision poultry hatchery practices. Four models, VGG16, ResNet…
Incremental Few-Shot Semantic Segmentation via Embedding Adaptive-Update and Hyper-class Representation
Guangchen Shi, Yirui Wu, Jun Liu +3
Incremental few-shot semantic segmentation (IFSS) targets at incrementally expanding model's capacity to segment new class of images supervised by only a few samples. However, feat…
Shallow Network Based on Depthwise Over-Parameterized Convolution for Hyperspectral Image Classification
Hongmin Gao, Zhonghao Chen, Chenming Li
Recently, convolutional neural network (CNN) techniques have gained popularity as a tool for hyperspectral image classification (HSIC). To improve the feature extraction efficiency…