模型库数据汇总

• Number of papers: 24

  • Algorithm: 24

• Number of checkpoints: 81

  • [Algorithm] Bootstrap your own latent: A new approach to self-supervised Learning (2 ckpts)

  • [Algorithm] Deep clustering for unsupervised learning of visual features (1 ckpts)

  • [Algorithm] Dense contrastive learning for self-supervised visual pre-training (2 ckpts)

  • [Algorithm] Momentum Contrast for Unsupervised Visual Representation Learning (1 ckpts)

  • [Algorithm] Improved Baselines with Momentum Contrastive Learning (2 ckpts)

  • [Algorithm] An Empirical Study of Training Self-Supervised Vision Transformers (13 ckpts)

  • [Algorithm] Unsupervised Feature Learning via Non-Parametric Instance Discrimination (2 ckpts)

  • [Algorithm] Online deep clustering for unsupervised representation learning (1 ckpts)

  • [Algorithm] Unsupervised visual representation learning by context prediction (2 ckpts)

  • [Algorithm] Unsupervised representation learning by predicting image rotations (2 ckpts)

  • [Algorithm] A simple framework for contrastive learning of visual representations (6 ckpts)

  • [Algorithm] Exploring simple siamese representation learning (4 ckpts)

  • [Algorithm] Unsupervised Learning of Visual Features by Contrasting Cluster Assignments (2 ckpts)

  • [Algorithm] Masked Autoencoders Are Scalable Vision Learners (11 ckpts)

  • [Algorithm] SimMIM: A Simple Framework for Masked Image Modeling (6 ckpts)

  • [Algorithm] Barlow Twins: Self-Supervised Learning via Redundancy Reduction (2 ckpts)

  • [Algorithm] Context Autoencoder for Self-Supervised Representation Learning (2 ckpts)

  • [Algorithm] Masked Feature Prediction for Self-Supervised Visual Pre-Training (2 ckpts)

  • [Algorithm] BEiT: BERT Pre-Training of Image Transformers (2 ckpts)

  • [Algorithm] MILAN: Masked Image Pretraining on Language Assisted Representation (3 ckpts)

  • [Algorithm] BEiT v2: Masked Image Modeling with Vector-Quantized Visual Tokenizers (2 ckpts)

  • [Algorithm] EVA: Exploring the Limits of Masked Visual Representation Learning at Scale (3 ckpts)

  • [Algorithm] MixMIM: Mixed and Masked Image Modeling for Efficient Visual Representation Learning (2 ckpts)

  • [Algorithm] PixMIM: Rethinking Pixel Reconstruction in Masked Image Modeling (6 ckpts)