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The recent Segment Anything Model (SAM) has demonstrated remarkable zero-shot capability and flexible geometric prompting in general image segmentation.
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Milletari, F., Navab, N., Ahmadi, S.A.: V-net: Fully convolutional neural networks for volumetric medical image segmentation. In: 2016 fourth international conference on 3D vision (3DV). pp. 565–571. Ieee (2016)
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Hu, X., Zhu, L., Fu, C.W., Qin, J., Heng, P.A.: Direction-aware spatial context features for shadow detection. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 7454–7462 (2018)
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Rebuffi, S.A., Bilen, H., Vedaldi, A.: Efficient parametrization of multi-domain deep neural networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 8119–8127 (2018)
2018
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Zhu, L., Deng, Z., Hu, X., Fu, C.W., Xu, X., Qin, J., Heng, P.A.: Bidirectional feature pyramid network with recurrent attention residual modules for shadow detection. In: Proceedings of the European Conference on Computer Vision (ECCV). pp. 121–136 (2018)
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Houlsby, N., Giurgiu, A., Jastrzebski, S., Morrone, B., De Laroussilhe, Q., Gesmundo, A., Attariyan, M., Gelly, S.: Parameter-efficient transfer learning for nlp. In: International Conference on Machine Learning. pp. 2790–2799. PMLR (2019)
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Zheng, Q., Qiao, X., Cao, Y., Lau, R.W.: Distraction-aware shadow detection. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 5167–5176 (2019)
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Chen, Z., Zhu, L., Wan, L., Wang, S., Feng, W., Heng, P.A.: A multi-task mean teacher for semi-supervised shadow detection. In: Proceedings of the IEEE/CVF Conference on computer vision and pattern recognition. pp. 5611–5620 (2020)
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2021
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Chen, K., Zou, Z., Shi, Z.: Building extraction from remote sensing images with sparse token transformers. Remote Sensing 13
2021
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Cheng, B., Girshick, R., Dollár, P., Berg, A.C., Kirillov, A.: Boundary iou: Improving object-centric image segmentation evaluation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 15334–15342 (2021)
2021
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Hu, E.J., Wallis, P., Allen-Zhu, Z., Li, Y., Wang, S., Wang, L., Chen, W., et al.: Lora: Low-rank adaptation of large language models. In: International Conference on Learning Representations (2021)
2021
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2021
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2021
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Liew, J.H., Cohen, S., Price, B., Mai, L., Feng, J.: Deep interactive thin object selection. In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision. pp. 305–314 (2021)
2021
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Singh, D., Valdenegro-Toro, M.: The marine debris dataset for forward-looking sonar semantic segmentation. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 3741–3749 (2021)
2021
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2023
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Lan, X., Lyu, J., Jiang, H., Dong, K., Niu, Z., Zhang, Y., Xue, J.: Foodsam: Any food segmentation. IEEE Transactions on Multimedia pp. 1–14 (2023). https://doi.org/10.1109/TMM.2023.3330047
2023
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2023
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Liu, W., Shen, X., Pun, C.M., Cun, X.: Explicit visual prompting for low-level structure segmentations. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 19434–19445 (2023)
2023
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Chen, S., Ge, C., Tong, Z., Wang, J., Song, Y., Wang, J., Luo, P.: Adaptformer: Adapting vision transformers for scalable visual recognition. Advances in Neural Information Processing Systems 35
2022
Cited alongside, same era.
Guo, H., Du, B., Zhang, L., Su, X.: A coarse-to-fine boundary refinement network for building footprint extraction from remote sensing imagery. ISPRS Journal of Photogrammetry and Remote Sensing 183
2022
Cited alongside, same era.
Jia, M., Tang, L., Chen, B.C., Cardie, C., Belongie, S., Hariharan, B., Lim, S.N.: Visual prompt tuning. In: European Conference on Computer Vision. pp. 709–727. Springer (2022)
2022
Cited alongside, same era.
Qin, X., Dai, H., Hu, X., Fan, D.P., Shao, L., Van Gool, L.: Highly accurate dichotomous image segmentation. In: European Conference on Computer Vision. pp. 38–56. Springer (2022)
2022
Cited alongside, same era.
Wang, L., Fang, S., Meng, X., Li, R.: Building extraction with vision transformer. IEEE Transactions on Geoscience and Remote Sensing 60
2022
Cited alongside, same era.
Zhou, K., Yang, J., Loy, C.C., Liu, Z.: Conditional prompt learning for vision-language models. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 16816–16825 (2022)
2022
Cited alongside, same era.
Zhou, K., Yang, J., Loy, C.C., Liu, Z.: Learning to prompt for vision-language models. International Journal of Computer Vision 130
2022
Cited alongside, same era.
Chen, T., Zhu, L., Deng, C., Cao, R., Wang, Y., Zhang, S., Li, Z., Sun, L., Zang, Y., Mao, P.: Sam-adapter: Adapting segment anything in underperformed scenes. In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops. pp. 3367–3375 (October 2023)
2023
Cited alongside, same era.
Rahman, M.M., Marculescu, R.: Medical image segmentation via cascaded attention decoding. In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision. pp. 6222–6231 (2023)
2023
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2023
Later among the works it cites.
2023
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Wu, Q., Zhang, Y., Elbatel, M.: Self-prompting large vision models for few-shot medical image segmentation. In: MICCAI Workshop on Domain Adaptation and Representation Transfer. pp. 156–167. Springer (2023)
2023
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2023
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Xu, M., Zhang, Z., Wei, F., Hu, H., Bai, X.: Side adapter network for open-vocabulary semantic segmentation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 2945–2954 (2023)
2023
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2023
Later among the works it cites.
2023
Later among the works it cites.
2023
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2023
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2023
Later among the works it cites.
Gong, Z., Li, F., Deng, Y., Bhattacharjee, D., Zhu, X., Ji, Z.: Coda: Instructive chain-of-domain adaptation with severity-aware visual prompt tuning (2024)
2024
Closest in time.
Ma, J., He, Y., Li, F., Han, L., You, C., Wang, B.: Segment anything in medical images. Nature Communications 15
2024
Closest in time.
Nagendra, S., Kifer, D.: Patchrefinenet: Improving binary segmentation by incorporating signals from optimal patch-wise binarization. In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision. pp. 1361–1372 (2024)
2024
Closest in time.