ScholarGate
Asisten
Machine learningDeep learning / NLP / CV

Jaringan Saraf Konvolusional Swadaya

Jaringan saraf konvolusional swadaya (CNN) mempelajari representasi visual yang kuat dari citra tanpa label dengan menyelesaikan tugas-tugas pretext — seperti diskriminasi instans kontrasif atau prediksi petak bertopeng — dan kemudian melakukan penyempurnaan (fine-tuning) pada kumpulan data berlabel kecil. Pendekatan ini secara dramatis mengurangi ketergantungan pada kumpulan data beranotasi besar sambil mempertahankan kekuatan ekstraksi fitur spasial dari arsitektur konvolusional.

Buka di MethodMindSegeraVideoSegeraDownload slides

Baca metode selengkapnya

Khusus anggota

Masuk dengan akun gratis untuk membaca bagian ini.

Masuk

Method map

The neighbourhood of related methods — select a node to explore.

Sumber

  1. Chen, T., Kornblith, S., Norouzi, M., & Hinton, G. (2020). A Simple Framework for Contrastive Learning of Visual Representations. In Proceedings of the 37th International Conference on Machine Learning (ICML 2020), PMLR 119, 1597–1607. link
  2. He, K., Fan, H., Wu, Y., Xie, S., & Girshick, R. (2020). Momentum Contrast for Unsupervised Visual Representation Learning. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), 9729–9738. DOI: 10.1109/CVPR42600.2020.00975

Cara menyitasi halaman ini

ScholarGate. (2026, June 3). Self-Supervised Convolutional Neural Network. ScholarGate. https://scholargate.app/id/deep-learning/self-supervised-convolutional-neural-network

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

Compare side by side

Dirujuk oleh

ScholarGateSelf-supervised convolutional neural network (Self-Supervised Convolutional Neural Network). Diakses 2026-06-15 dari https://scholargate.app/id/deep-learning/self-supervised-convolutional-neural-network · Set data: https://doi.org/10.5281/zenodo.20539026