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Open-vocabulary object detection has benefited greatly from pretrained vision-language models, but is still limited by the amount of available detection training data.
2014
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Gupta, A., Dollar, P., Girshick, R.: LVIS: A dataset for large vocabulary instance segmentation. CVPR (2019)
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Shao, S., Li, Z., Zhang, T., Peng, C., Yu, G., Zhang, X., Li, J., Sun, J.: Objects365: A Large-Scale, High-Quality Dataset for Object Detection. ICCV (2019)
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Ramanathan, V., Wang, R., Mahajan, D.: Dlwl: Improving detection for lowshot classes with weakly labelled data. CVPR (2020)
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2021
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Ghiasi, G., Cui, Y., Srinivas, A., Qian, R., Lin, T.Y., Cubuk, E.D., Le, Q.V., Zoph, B.: Simple copy-paste is a strong data augmentation method for instance segmentation. CVPR (2021)
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2021
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2021
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2021
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2022
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2022
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Rao, Y., Zhao, W., Liu, B., Lu, J., Zhou, J., Hsieh, C.J.: Dynamicvit: Efficient vision transformers with dynamic token sparsification. NeurIPS (2021)
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2021
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2021
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2021
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2021
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2022
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2023
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2023
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Dehghani, M., Djolonga, J., Mustafa, B., Padlewski, P., Heek, J., Gilmer, J., Steiner, A., Caron, M., Geirhos, R., Alabdulmohsin, I., Jenatton, R., Beyer, L., Tschannen, M., Arnab, A., Wang, X., Riquelme, C., Minderer, M., Puigcerver, J., Evci, U., Kumar, M., van Steenkiste, S., Elsayed, G.F., Mahendran, A., Yu, F., Oliver, A., Huot, F., Bastings, J., Collier, M.P., Gritsenko, A., Birodkar, V., Vasconcelos, C., Tay, Y., Mensink, T., Kolesnikov, A., Pavetić, F., Tran, D., Kipf, T., Lučić, M., Zhai, X., Keysers, D., Harmsen, J., Houlsby, N.: Scaling vision transformers to 22 billion parameters. ICML (2023)
2023
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2023
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Kuo, W., Cui, Y., Gu, X., Piergiovanni, A., Angelova, A.: Open-vocabulary object detection upon frozen vision and language models. ICLR (2023)
2023
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Marin, D., Chang, J.H.R., Ranjan, A., Prabhu, A., Rastegari, M., Tuzel, O.: Token pooling in vision transformers for image classification. CVPR (2023)
2023
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2023
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