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Binghao Liu
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2020 – today
- 2024
- [j17]Qi Zhao, Shuchang Lyu, Hongbo Zhao, Binghao Liu, Lijiang Chen, Guangliang Cheng:
Self-training guided disentangled adaptation for cross-domain remote sensing image semantic segmentation. Int. J. Appl. Earth Obs. Geoinformation 127: 103646 (2024) - [j16]Chunlei Wang, Wenquan Feng, Xiangtai Li, Guangliang Cheng, Shuchang Lyu, Binghao Liu, Lijiang Chen, Qi Zhao:
OV-VG: A benchmark for open-vocabulary visual grounding. Neurocomputing 591: 127738 (2024) - [j15]Binghao Liu, Yidi Bai:
Improving Scarce RS Data Classification With Independent Noise and Feature Mutual Exclusion. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j14]Mengying Fu, Binghao Liu, TianRen Ma, Qixiang Ye:
Overcomplete-to-sparse representation learning for few-shot class-incremental learning. Multim. Syst. 30(2): 102 (2024) - [j13]Yibo Lv, Shenglian Lu, Xiaoyu Liu, Jiangchuan Bao, Binghao Liu, Ming Chen, Guo Li:
LDC-PP-YOLOE: a lightweight model for detecting and counting citrus fruit. Pattern Anal. Appl. 27(4): 114 (2024) - [j12]Qiang Wang, Wenquan Feng, Hongbo Zhao, Binghao Liu, Shuchang Lyu:
VALNet: Vision-Based Autonomous Landing with Airport Runway Instance Segmentation. Remote. Sens. 16(12): 2161 (2024) - [j11]Qi Zhao, Binghao Liu, Shuchang Lyu, Huojin Chen:
A Self-Distillation Embedded Supervised Affinity Attention Model for Few-Shot Segmentation. IEEE Trans. Cogn. Dev. Syst. 16(1): 177-189 (2024) - [c9]Hongbo Zhao, Ruimin Ren, Shuchang Lyu, Binghao Liu, Chunlei Wang, Meng Li, Guangliang Cheng, Qi Zhao:
Self-Training and Curriculum Learning Guided Dynamic Refined Network for Remote Sensing Class-Incremental Semantic Segmentation. IGARSS 2024: 8334-8338 - 2023
- [j10]Boyu Yang, Mingbao Lin, Yunxiao Zhang, Binghao Liu, Xiaodan Liang, Rongrong Ji, Qixiang Ye:
Dynamic Support Network for Few-Shot Class Incremental Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 2945-2951 (2023) - [j9]Binghao Liu, Boyu Yang, Lingxi Xie, Ren Wang, Qi Tian, Qixiang Ye:
Learnable Distribution Calibration for Few-Shot Class-Incremental Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 12699-12706 (2023) - [j8]Qi Zhao, Binghao Liu, Shuchang Lyu, Chunlei Wang, Hong Zhang:
TPH-YOLOv5++: Boosting Object Detection on Drone-Captured Scenarios with Cross-Layer Asymmetric Transformer. Remote. Sens. 15(6): 1687 (2023) - [j7]Qiang Wang, Wenquan Feng, Lifan Yao, Chen Zhuang, Binghao Liu, Lijiang Chen:
TPH-YOLOv5-Air: Airport Confusing Object Detection via Adaptively Spatial Feature Fusion. Remote. Sens. 15(15): 3883 (2023) - [j6]Guangbiao Wang, Hongbo Zhao, Qing Chang, Shuchang Lyu, Binghao Liu, Chunlei Wang, Wenquan Feng:
Detection Method of Infected Wood on Digital Orthophoto Map-Digital Surface Model Fusion Network. Remote. Sens. 15(17): 4295 (2023) - [j5]Qi Zhao, Shuchang Lyu, Lijiang Chen, Binghao Liu, Ting-Bing Xu, Guangliang Cheng, Wenquan Feng:
Learn by Oneself: Exploiting Weight-Sharing Potential in Knowledge Distillation Guided Ensemble Network. IEEE Trans. Circuits Syst. Video Technol. 33(11): 6661-6678 (2023) - [c8]Chenxu Guo, Qi Zhao, Shuchang Lyu, Binghao Liu, Chunlei Wang, Lijiang Chen, Guangliang Cheng:
Decision Boundary Optimization for Few-shot Class-Incremental Learning. ICCV (Workshops) 2023: 3493-3503 - [c7]Menghao Li, Chunlei Wang, Wenquan Feng, Shuchang Lyu, Guangliang Cheng, Xiangtai Li, Binghao Liu, Qi Zhao:
Iterative Robust Visual Grounding with Masked Reference based Centerpoint Supervision. ICCV (Workshops) 2023: 4653-4658 - [c6]Qi Zhao, Binghao Liu, Shuchang Lyu, Chunlei Wang, Yifan Yang:
Enhancing Spatial Consistency and Class-Level Diversity for Segmenting Fine-Grained Objects. ICONIP (11) 2023: 292-304 - [c5]Xiaozhong Chen, Binghao Liu, Qixiang Ye:
Representative Feature Learning and Task Decoupling for Few-Shot Object Detection. ISCSIC 2023: 113-118 - [i9]Qi Zhao, Shuchang Lyu, Binghao Liu, Lijiang Chen, Hongbo Zhao:
Self-Training Guided Disentangled Adaptation for Cross-Domain Remote Sensing Image Semantic Segmentation. CoRR abs/2301.05526 (2023) - [i8]Menghao Li, Chunlei Wang, Wenquan Feng, Shuchang Lyu, Guangliang Cheng, Xiangtai Li, Binghao Liu, Qi Zhao:
Iterative Robust Visual Grounding with Masked Reference based Centerpoint Supervision. CoRR abs/2307.12392 (2023) - [i7]Chunlei Wang, Wenquan Feng, Xiangtai Li, Guangliang Cheng, Shuchang Lyu, Binghao Liu, Lijiang Chen, Qi Zhao:
OV-VG: A Benchmark for Open-Vocabulary Visual Grounding. CoRR abs/2310.14374 (2023) - 2022
- [j4]Wenkang Chen, Shenglian Lu, Binghao Liu, Ming Chen, Guo Li, Tingting Qian:
CitrusYOLO: A Algorithm for Citrus Detection under Orchard Environment Based on YOLOv4. Multim. Tools Appl. 81(22): 31363-31389 (2022) - [j3]Qi Zhao, Xu Wang, Shuchang Lyu, Binghao Liu, Yifan Yang:
A feature consistency driven attention erasing network for fine-grained image retrieval. Pattern Recognit. 128: 108618 (2022) - [c4]Shuchang Lyu, Binghao Liu, Lijiang Chen, Qi Zhao:
A Similarity Distillation Guided Feature Refinement Network for Few-Shot Semantic Segmentation. ICIP 2022: 666-670 - [c3]Yuewen Li, Binghao Liu, Shuchang Lyu, Lijiang Chen, Qi Zhao, Wenquan Feng:
ML-FDA: Meta-Learning via Feature Distribution Alignment for Few-Shot Learning. VCIP 2022: 1-5 - [i6]Qi Zhao, Shuchang Lyu, Wenpei Bai, Linghan Cai, Binghao Liu, Meijing Wu, Xiubo Sang, Min Yang, Lijiang Chen:
A Multi-Modality Ovarian Tumor Ultrasound Image Dataset for Unsupervised Cross-Domain Semantic Segmentation. CoRR abs/2207.06799 (2022) - [i5]Binghao Liu, Boyu Yang, Lingxi Xie, Ren Wang, Qi Tian, Qixiang Ye:
Learnable Distribution Calibration for Few-Shot Class-Incremental Learning. CoRR abs/2210.00232 (2022) - 2021
- [j2]Binghao Liu, Jianbin Jiao, Qixiang Ye:
Harmonic Feature Activation for Few-Shot Semantic Segmentation. IEEE Trans. Image Process. 30: 3142-3153 (2021) - [c2]Binghao Liu, Yao Ding, Jianbin Jiao, Xiangyang Ji, Qixiang Ye:
Anti-Aliasing Semantic Reconstruction for Few-Shot Semantic Segmentation. CVPR 2021: 9747-9756 - [c1]Binghao Liu, Pengpeng Zhao, Fuzhen Zhuang, Xuefeng Xian, Yanchi Liu, Victor S. Sheng:
Knowledge-Aware Hypergraph Neural Network for Recommender Systems. DASFAA (3) 2021: 132-147 - [i4]Boyu Yang, Mingbao Lin, Binghao Liu, Mengying Fu, Chang Liu, Rongrong Ji, Qixiang Ye:
Learnable Expansion-and-Compression Network for Few-shot Class-Incremental Learning. CoRR abs/2104.02281 (2021) - [i3]Binghao Liu, Yao Ding, Jianbin Jiao, Xiangyang Ji, Qixiang Ye:
Anti-aliasing Semantic Reconstruction for Few-Shot Semantic Segmentation. CoRR abs/2106.00184 (2021) - [i2]Qi Zhao, Binghao Liu, Shuchang Lyu, Xu Wang, Yifan Yang:
A Self-Distillation Embedded Supervised Affinity Attention Model for Few-Shot Segmentation. CoRR abs/2108.06600 (2021) - [i1]Qi Zhao, Xu Wang, Shuchang Lyu, Binghao Liu, Yifan Yang:
A Feature Consistency Driven Attention Erasing Network for Fine-Grained Image Retrieval. CoRR abs/2110.04479 (2021) - 2020
- [j1]Wenkang Chen, Shenglian Lu, Binghao Liu, Guo Li, Tingting Qian:
Detecting Citrus in Orchard Environment by Using Improved YOLOv4. Sci. Program. 2020: 8859237:1-8859237:13 (2020)
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last updated on 2024-10-07 22:17 CEST by the dblp team
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