TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for Object Detection on Drone-captured Scenarios X Zhu, S Lyu, X Wang, Q Zhao Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 1155 | 2021 |
VisDrone-DET2021: The vision meets drone object detection challenge results Y Cao, Z He, L Wang, W Wang, Y Yuan, D Zhang, J Zhang, P Zhu, ... Proceedings of the IEEE/CVF International conference on computer vision …, 2021 | 124 | 2021 |
AlphaMEX: A smarter global pooling method for convolutional neural networks B Zhang, Q Zhao, W Feng, S Lyu Neurocomputing 321, 36-48, 2018 | 49 | 2018 |
Multiactivation Pooling Method in Convolutional Neural Networks for Image Recognition Q Zhao, S Lyu, B Zhang, W Feng Wireless Communications and Mobile Computing 2018, 2018 | 40 | 2018 |
TPH-YOLOv5++: Boosting Object Detection on Drone-Captured Scenarios with Cross-Layer Asymmetric Transformer Q Zhao, B Liu, S Lyu, C Wang, H Zhang Remote Sensing 15 (6), 1687, 2023 | 34 | 2023 |
MGML: Multigranularity Multilevel Feature Ensemble Network for Remote Sensing Scene Classification Q Zhao, S Lyu, Y Li, Y Ma, L Chen IEEE Transactions on Neural Networks and Learning Systems, 2021 | 33 | 2021 |
A CNN-SIFT hybrid pedestrian navigation method based on first-person vision Q Zhao, B Zhang, S Lyu, H Zhang, D Sun, G Li, W Feng Remote Sensing 10 (8), 1229, 2018 | 24 | 2018 |
A Multi-Modality Ovarian Tumor Ultrasound Image Dataset for Unsupervised Cross-Domain Semantic Segmentation Q Zhao, S Lyu, W Bai, L Cai, B Liu, M Wu, X Sang, M Yang, L Chen arXiv preprint arXiv:2207.06799, 2022 | 20 | 2022 |
A feature consistency driven attention erasing network for fine-grained image retrieval Q Zhao, X Wang, S Lyu, B Liu, Y Yang Pattern Recognition 128, 108618, 2022 | 15 | 2022 |
A Self-Distillation Embedded Supervised Affinity Attention Model for Few-Shot Segmentation Q Zhao, B Liu, S Lyu, X Wang, Y Yang arXiv preprint arXiv:2108.06600, 2021 | 15 | 2021 |
MM-FSOD: Meta and metric integrated few-shot object detection Y Li, W Feng, S Lyu, Q Zhao, X Li arXiv preprint arXiv:2012.15159, 2020 | 13 | 2020 |
Using Guided Self-Attention with Local Information for Polyp Segmentation L Cai, M Wu, L Chen, W Bai, M Yang, S Lyu, Q Zhao Medical Image Computing and Computer Assisted Intervention–MICCAI 2022: 25th …, 2022 | 12 | 2022 |
Interpretable Relative Squeezing bottleneck design for compact convolutional neural networks model Q Zhao, J Liu, B Zhang, S Lyu, N Raoof, W Feng Image and Vision Computing, 2019 | 10 | 2019 |
Change Detection Methods for Remote Sensing in the Last Decade: A Comprehensive Review G Cheng, Y Huang, X Li, S Lyu, Z Xu, Q Zhao, S Xiang arXiv preprint arXiv:2305.05813, 2023 | 8 | 2023 |
Learn by Oneself: Exploiting Weight-Sharing Potential in Knowledge Distillation Guided Ensemble Network Q Zhao, S Lyu, L Chen, B Liu, TB Xu, G Cheng, W Feng IEEE Transactions on Circuits and Systems for Video Technology, 2023 | 7 | 2023 |
Feature reconstruction and metric based network for few-shot object detection Y Li, W Feng, S Lyu, Q Zhao Computer Vision and Image Understanding 227, 103600, 2023 | 7 | 2023 |
Self-training guided disentangled adaptation for cross-domain remote sensing image semantic segmentation Q Zhao, S Lyu, H Zhao, B Liu, L Chen, G Cheng International Journal of Applied Earth Observation and Geoinformation 127 …, 2024 | 6 | 2024 |
RSNet: A Compact Relative Squeezing Net for Image Recognition Q Zhao, N Raoof, S Lyu, B Zhang, W Feng 2019 IEEE Visual Communications and Image Processing (VCIP), 1-4, 2019 | 4 | 2019 |
Detection Method of Infected Wood on Digital Orthophoto Map–Digital Surface Model Fusion Network G Wang, H Zhao, Q Chang, S Lyu, B Liu, C Wang, W Feng Remote Sensing 15 (17), 4295, 2023 | 3 | 2023 |
Iterative Robust Visual Grounding with Masked Reference based Centerpoint Supervision M Li, C Wang, W Feng, S Lyu, G Cheng, X Li, B Liu, Q Zhao Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 3 | 2023 |