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Hierarchical segmentation entails creating segmentations at varying levels of granularity.
Miller, G.A.: Wordnet: a lexical database for english. Commun. ACM 38
1995
Earlier work this paper cites.
RAYMOND W. GIBBS, J., Matlock, T.: Psycholinguistics and mental representations (2000)
2000
Earlier work this paper cites.
Martin, D., Fowlkes, C., Tal, D., Malik, J.: A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics. In: Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001. vol. 2, pp. 416–423. IEEE (2001)
2001
Earlier work this paper cites.
Wah, C., Branson, S., Welinder, P., Perona, P., Belongie, S.: The caltech-ucsd birds-200-2011 dataset (2011)
2011
Earlier work this paper cites.
Chen, X., Mottaghi, R., Liu, X., Fidler, S., Urtasun, R., Yuille, A.: Detect what you can: Detecting and representing objects using holistic models and body parts. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 1971–1978 (2014)
2014
Earlier work this paper cites.
Lin, T.Y., Maire, M., Belongie, S., Hays, J., Perona, P., Ramanan, D., Dollár, P., Zitnick, C.L.: Microsoft coco: Common objects in context. In: Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part V 13. pp. 740–755. Springer (2014)
2014
Earlier work this paper cites.
2015
Earlier work this paper cites.
2015
Earlier work this paper cites.
2015
Earlier work this paper cites.
Wang, J., Yuille, A.L.: Semantic part segmentation using compositional model combining shape and appearance. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 1788–1797 (2015)
2015
Earlier work this paper cites.
Wang, P., Shen, X., Lin, Z., Cohen, S., Price, B., Yuille, A.L.: Joint object and part segmentation using deep learned potentials. In: Proceedings of the IEEE International Conference on Computer Vision. pp. 1573–1581 (2015)
2015
Earlier work this paper cites.
He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 770–778 (2016)
2016
Earlier work this paper cites.
Liang, X., Shen, X., Feng, J., Lin, L., Yan, S.: Semantic object parsing with graph lstm. In: Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11–14, 2016, Proceedings, Part I 14. pp. 125–143. Springer (2016)
2016
Earlier work this paper cites.
Zhou, B., Zhao, H., Puig, X., Fidler, S., Barriuso, A., Torralba, A.: Scene parsing through ade20k dataset. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 633–641 (2017)
2017
Earlier work this paper cites.
2018
Earlier work this paper cites.
Gong, K., Liang, X., Li, Y., Chen, Y., Yang, M., Lin, L.: Instance-level human parsing via part grouping network. In: Proceedings of the European conference on computer vision (ECCV). pp. 770–785 (2018)
2018
Earlier work this paper cites.
Liang, X., Gong, K., Shen, X., Lin, L.: Look into person: Joint body parsing & pose estimation network and a new benchmark. IEEE transactions on pattern analysis and machine intelligence 41
2018
Earlier work this paper cites.
Zhao, J., Li, J., Cheng, Y., Sim, T., Yan, S., Feng, J.: Understanding humans in crowded scenes: Deep nested adversarial learning and a new benchmark for multi-human parsing. In: Proceedings of the 26th ACM international conference on Multimedia. pp. 792–800 (2018)
2018
Earlier work this paper cites.
Zheng, S., Yang, F., Kiapour, M.H., Piramuthu, R.: Modanet: A large-scale street fashion dataset with polygon annotations. In: Proceedings of the 26th ACM international conference on Multimedia. pp. 1670–1678 (2018)
2018
Earlier work this paper cites.
2019
Earlier work this paper cites.
Mo, K., Zhu, S., Chang, A.X., Yi, L., Tripathi, S., Guibas, L.J., Su, H.: Partnet: A large-scale benchmark for fine-grained and hierarchical part-level 3d object understanding. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. pp. 909–918 (2019)
2019
Earlier work this paper cites.
Mo, K., Zhu, S., Chang, A.X., Yi, L., Tripathi, S., Guibas, L.J., Su, H.: PartNet: A large-scale benchmark for fine-grained and hierarchical part-level 3D object understanding. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (June 2019)
2019
Earlier work this paper cites.
Song, X., Wang, P., Zhou, D., Zhu, R., Guan, C., Dai, Y., Su, H., Li, H., Yang, R.: Apollocar3d: A large 3d car instance understanding benchmark for autonomous driving. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 5452–5462 (2019)
2019
Earlier work this paper cites.
Yu, F., Liu, K., Zhang, Y., Zhu, C., Xu, K.: Partnet: A recursive part decomposition network for fine-grained and hierarchical shape segmentation. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. pp. 9491–9500 (2019)
2019
Earlier work this paper cites.
Deitke, M., Han, W., Herrasti, A., Kembhavi, A., Kolve, E., Mottaghi, R., Salvador, J., Schwenk, D., VanderBilt, E., Wallingford, M., Weihs, L., Yatskar, M., Farhadi, A.: Robothor: An open simulation-to-real embodied ai platform. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (June 2020)
2020
Earlier work this paper cites.
Deng, B., Genova, K., Yazdani, S., Bouaziz, S., Hinton, G., Tagliasacchi, A.: Cvxnet: Learnable convex decomposition. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 31–44 (2020)
2020
Cited alongside, same era.
2020
Cited alongside, same era.
Jia, M., Shi, M., Sirotenko, M., Cui, Y., Cardie, C., Hariharan, B., Adam, H., Belongie, S.: Fashionpedia: Ontology, segmentation, and an attribute localization dataset. In: Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part I 16. pp. 316–332. Springer (2020)
2020
Cited alongside, same era.
Xiang, F., Qin, Y., Mo, K., Xia, Y., Zhu, H., Liu, F., Liu, M., Jiang, H., Yuan, Y., Wang, H., Yi, L., Chang, A.X., Guibas, L.J., Su, H.: SAPIEN: A simulated part-based interactive environment. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (June 2020)
He, J., Chen, J., Lin, M.X., Yu, Q., Yuille, A.L.: Compositor: Bottom-up clustering and compositing for robust part and object segmentation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). pp. 11259–11268 (June 2023)
2023
Later among the works it cites.
Kirillov, A., Mintun, E., Ravi, N., Mao, H., Rolland, C., Gustafson, L., Xiao, T., Whitehead, S., Berg, A.C., Lo, W.Y., Dollar, P., Girshick, R.: Segment anything. In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV). pp. 4015–4026 (October 2023)
2023
Later among the works it cites.
2023
Later among the works it cites.
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2020
Cited alongside, same era.
de Geus, D., Meletis, P., Lu, C., Wen, X., Dubbelman, G.: Part-aware panoptic segmentation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 5485–5494 (2021)
2021
Cited alongside, same era.
Hong, Y., Li, Q., Zhu, S.C., Huang, S.: Vlgrammar: Grounded grammar induction of vision and language. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 1665–1674 (2021)
2021
Cited alongside, same era.
Hong, Y., Yi, L., Tenenbaum, J., Torralba, A., Gan, C.: Ptr: A benchmark for part-based conceptual, relational, and physical reasoning. Advances in Neural Information Processing Systems 34
2021
Cited alongside, same era.
Lee, J., Peng, Y.H., Herskovitz, J., Guo, A.: Image explorer: Multi-layered touch exploration to make images accessible. In: Proceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility. ASSETS ’21, Association for Computing Machinery, New York, NY, USA (2021). https://doi.org/10.1145/3441852.3476548, https://doi.org/10.1145/3441852.3476548
2021
Cited alongside, same era.
2021
Cited alongside, same era.
Radford, A., Kim, J.W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al.: Learning transferable visual models from natural language supervision. In: International conference on machine learning. pp. 8748–8763. PMLR (2021)
2021
Cited alongside, same era.
He, J., Yang, S., Yang, S., Kortylewski, A., Yuan, X., Chen, J.N., Liu, S., Yang, C., Yu, Q., Yuille, A.: Partimagenet: A large, high-quality dataset of parts. In: European Conference on Computer Vision. pp. 128–145. Springer (2022)
2022
Cited alongside, same era.
Koo, J., Huang, I., Achlioptas, P., Guibas, L.J., Sung, M.: Partglot: Learning shape part segmentation from language reference games. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 16505–16514 (2022)
2022
Cited alongside, same era.
2023
Later among the works it cites.
2023
Later among the works it cites.
Liu, H., Li, C., Wu, Q., Lee, Y.J.: Visual instruction tuning. In: NeurIPS (2023)
2023
Later among the works it cites.
Nair, V., Zhu, H.H., Smith, B.A.: Imageassist: Tools for enhancing touchscreen-based image exploration systems for blind and low vision users. In: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. CHI ’23, Association for Computing Machinery, New York, NY, USA (2023). https://doi.org/10.1145/3544548.3581302, https://doi.org/10.1145/3544548.3581302
2023
Later among the works it cites.
2023
Later among the works it cites.
Ramanathan, V., Kalia, A., Petrovic, V., Wen, Y., Zheng, B., Guo, B., Wang, R., Marquez, A., Kovvuri, R., Kadian, A., et al.: Paco: Parts and attributes of common objects. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 7141–7151 (2023)
2023
Later among the works it cites.
2023
Later among the works it cites.
Ren, Z., Huang, Z., Wei, Y., Zhao, Y., Fu, D., Feng, J., Jin, X.: Pixellm: Pixel reasoning with large multimodal model (2023)
2023
Later among the works it cites.
Slyman, E., Kahng, M., Lee, S.: Vlslice: Interactive vision-and-language slice discovery. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 15291–15301 (2023)
2023
Later among the works it cites.
Sun, P., Chen, S., Zhu, C., Xiao, F., Luo, P., Xie, S., Yan, Z.: Going denser with open-vocabulary part segmentation. 2023 IEEE/CVF International Conference on Computer Vision (ICCV) pp. 15407–15419 (2023), https://api.semanticscholar.org/CorpusID:258762519
2023
Later among the works it cites.
Tang, C., Xie, L., Zhang, X., Hu, X., Tian, Q.: Visual recognition by request. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 15265–15274 (2023)
2023
Later among the works it cites.
Touvron, H., Lavril, T., Izacard, G., Martinet, X., Lachaux, M.A., Lacroix, T., Rozière, B., Goyal, N., Hambro, E., Azhar, F., Rodriguez, A., Joulin, A., Grave, E., Lample, G.: Llama: Open and efficient foundation language models (2023)
2023
Later among the works it cites.
Wang, H., Ma, S., Huang, S., Dong, L., Wang, W., Peng, Z., Wu, Y., Bajaj, P., Singhal, S., Benhaim, A., et al.: Magneto: a foundation transformer. In: International Conference on Machine Learning. pp. 36077–36092. PMLR (2023)
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
Yuan, Y., Li, W., Liu, J., Tang, D., Luo, X., Qin, C., Zhang, L., Zhu, J.: Osprey: Pixel understanding with visual instruction tuning (2023)
2023
Later among the works it cites.
Cai, M., Liu, H., Mustikovela, S.K., Meyer, G.P., Chai, Y., Park, D., Lee, Y.J.: Making large multimodal models understand arbitrary visual prompts. In: IEEE Conference on Computer Vision and Pattern Recognition (2024)
2024
Closest in time.
2024
Closest in time.
Myers-Dean, J., Fan, Y., Price, B., Chan, W., Gurari, D.: Interactive segmentation for diverse gesture types without context. In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). pp. 7198–7208 (January 2024)
2024
Closest in time.
Wang, X., Li, S., Kallidromitis, K., Kato, Y., Kozuka, K., Darrell, T.: Hierarchical open-vocabulary universal image segmentation. Advances in Neural Information Processing Systems 36
2024
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Wei, M., Yue, X., Zhang, W., Kong, S., Liu, X., Pang, J.: Ov-parts: Towards open-vocabulary part segmentation. Advances in Neural Information Processing Systems 36
2024
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