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Results: 80,001
Number of items: 80,001
  • Open Access
    Chen, H., Wang, J., Chen, H. C., Zhen, X., Zheng, F., Ji, R., & Shao, L. (2021). Seminar Learning for Click-Level Weakly Supervised Semantic Segmentation. In 2021 IEEE/CVF International Conference on Computer Vision: proceedings : ICCV 2021 : 11-17 October 2021, virtual event (pp. 6900-6909). (International Conference on Computer Vision; Vol. 18). IEEE Computer Society. https://doi.org/10.1109/ICCV48922.2021.00684
  • Open Access
    Panteli, A., Teuwen, J., Horlings, H., & Gavves, E. (2021). Sparse-shot Learning with Exclusive Cross-Entropy for Extremely Many Localisations. In 2021 IEEE/CVF International Conference on Computer Vision: proceedings : ICCV 2021 : 11-17 October 2021, virtual event (pp. 2793-2803). (International Conference on Computer Vision; Vol. 18). IEEE Computer Society. https://doi.org/10.1109/ICCV48922.2021.00281
  • Open Access
    Sosnovik, I., Moskalev, A., & Smeulders, A. (2021). DISCO: accurate Discrete Scale Convolutions. In 32nd British Machine Vision Conference 2021: BMVC 2021, Online, November 22-25, 2021 Article 334 BMVA Press.
  • Open Access
    Patrick, M., Asano, Y. M., Kuznetsova, P., Fong, R., Henriques, J. F., Zweig, G., & Vedaldi, A. (2021). On Compositions of Transformations in Contrastive Self-Supervised Learning. In 2021 IEEE/CVF International Conference on Computer Vision: proceedings : ICCV 2021 : 11-17 October 2021, virtual event (pp. 9557-9567). (International Conference on Computer Vision; Vol. 18). IEEE Computer Society. https://doi.org/10.1109/ICCV48922.2021.00944
  • Open Access
    Salehi, M., Sadjadi, N., Baselizadeh, B., Rohban, M. H., & Rabiee, H. R. (2021). Multiresolution knowledge distillation for anomaly detection. In Proceedings, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition: virtual, 9-25 June 2021 (pp. 14897-14907). (CVPR). Conference Publishing Services, IEEE Computer Society. https://doi.org/10.1109/CVPR46437.2021.01466
  • Open Access
    Zoetmulder, R., Konduri, P. R., Obdeijn, I. V., Gavves, E., Išgum, I., Majoie, C. B. L. M., Dippel, D. W. J., Roos, Y. B. W. E. M., Goyal, M., Mitchell, P. J., Campbell, B. C. V., Lopes, D. K., Reimann, G., Jovin, T. G., Saver, J. L., Muir, K. W., White, P., Bracard, S., Chen, B., ... Marquering, H. A. (2021). Automated final lesion segmentation in posterior circulation acute ischemic stroke using deep learning. Diagnostics, 11(9), Article 1621. https://doi.org/10.3390/diagnostics11091621
  • Open Access
    Nevin, J., Lees, M., & Groth, P. (2021). The non-linear impact of data handling on network diffusion models. Patterns, 2(12), Article 100397. https://doi.org/10.1016/j.patter.2021.100397
  • Open Access
    Hunt, N., Fulton, N., Magliacane, S., Hoang, T. N., Das, S., & Solar-Lezama, A. (2021). Verifiably Safe Exploration for End-to-End Reinforcement Learning. In HSCC2021: proceedings of the 24th International Conference on Hybrid Systems: Computation and Control (part of CPS-IoT Week) : May 19-21, 2021, Nashville, TN, USA Article 14 The Association for Computing Machinery. https://doi.org/10.1145/3447928.3456653
  • Open Access
    Schelter, S., Grafberger, S., & Dunning, T. (2021). HedgeCut: Maintaining Randomised Trees for Low-Latency Machine Unlearning. In SIGMOD '21: proceedings of the 2021 International Conference on the Management of Data : June 20 -25, 2021, virtual event, China (pp. 1545–1557). Association for Computing Machinery. https://doi.org/10.1145/3448016.3457239
  • Open Access
    Kouwenhoven, W. M., von Oerthel, L., Gruppilo, M., Tian, J., Wagemans, C. M. R. J., Houwers, I. G. J., Locker, J., Mesman, S., & Smidt, M. P. (2021). Nkx2.9 Contributes to Mid-Hindbrain Patterning by Regulation of mdDA Neuronal Cell-Fate and Repression of a Hindbrain-Specific Cell-Fate. International Journal of Molecular Sciences, 22(23), Article 12663. https://doi.org/10.3390/ijms222312663
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