| A survey on label-efficient deep image segmentation: Bridging the gap between weak supervision and dense prediction W Shen, Z Peng, X Wang, H Wang, J Cen, D Jiang, L Xie, X Yang, Q Tian IEEE transactions on pattern analysis and machine intelligence 45 (8), 9284-9305, 2023 | 59 | 2023 |
| Adaptive affinity loss and erroneous pseudo-label refinement for weakly supervised semantic segmentation X Zhang, Z Peng, P Zhu, T Zhang, C Li, H Zhou, L Jiao Proceedings of the 29th ACM international conference on multimedia, 5463-5472, 2021 | 36 | 2021 |
| MOL: Towards accurate weakly supervised remote sensing object detection via Multi-view nOisy Learning G Wang, X Zhang, Z Peng, X Jia, X Tang, L Jiao ISPRS Journal of Photogrammetry and Remote Sensing 196, 457-470, 2023 | 14 | 2023 |
| Usage: A unified seed area generation paradigm for weakly supervised semantic segmentation Z Peng, G Wang, L Xie, D Jiang, W Shen, Q Tian Proceedings of the IEEE/CVF International Conference on Computer Vision, 624-634, 2023 | 13 | 2023 |
| Absolute wrong makes better: Boosting weakly supervised object detection via negative deterministic information G Wang, X Zhang, Z Peng, X Tang, H Zhou, L Jiao Proceedings of the Thirty-First International Joint Conference on Artificial …, 2022 | 13 | 2022 |
| Sam-parser: Fine-tuning sam efficiently by parameter space reconstruction Z Peng, Z Xu, Z Zeng, X Yang, W Shen Proceedings of the AAAI Conference on Artificial Intelligence 38 (5), 4515-4523, 2024 | 6 | 2024 |
| SMamba: A Spatial-spectral State Space Model for Hyperspectral Image Classification G Wang, X Zhang, Z Peng, T Zhang, X Jia, L Jiao arXiv preprint arXiv:2404.18213, 2024 | 3 | 2024 |
| Parameter Efficient Fine-tuning via Cross Block Orchestration for Segment Anything Model Z Peng, Z Xu, Z Zeng, L Xie, Q Tian, W Shen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 2 | 2024 |
| Parameter-efficient Fine-tuning in Hyperspherical Space for Open-vocabulary Semantic Segmentation Z Peng, Z Xu, Z Zeng, Y Wang, L Xie, Q Tian, W Shen arXiv preprint arXiv:2405.18840, 2024 | | 2024 |
| Negative Deterministic Information-Based Multiple Instance Learning for Weakly Supervised Object Detection and Segmentation G Wang, X Zhang, Z Peng, T Zhang, X Tang, H Zhou, L Jiao IEEE Transactions on Neural Networks and Learning Systems, 2024 | | 2024 |
| LERE: Learning-Based Low-Rank Matrix Recovery with Rank Estimation Z Xu, Y Zhang, C Ma, Y Yan, Z Peng, S Xie, S Wu, X Yang Proceedings of the AAAI Conference on Artificial Intelligence 38 (14), 16228 …, 2024 | | 2024 |
| Re-Unet: Multi-Modality Cell Segmentation based on nnU-Net Pipeline H Lu, J Feng, Z Peng, W Shen Competitions in Neural Information Processing Systems, 1-9, 2023 | | 2023 |
| A Learnable Blur Kernel for Remote Sensing Image Retrieval Z Peng, G Wang, X Zhang, X Tang, L Gao, L Jiao IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020 | | 2020 |
Wei Shen (沈为)Shanghai Jiao Tong University在 sjtu.edu.cn 的电子邮件经过验证
