ChaofWang / L-GM_loss_pytorchLinks
Rethinking Feature Distribution for Loss Functions in Image Classification
☆42Updated last year
Alternatives and similar repositories for L-GM_loss_pytorch
Users that are interested in L-GM_loss_pytorch are comparing it to the libraries listed below
Sorting:
- Learning Metrics from Teachers: Compact Networks for Image Embedding (CVPR19)☆76Updated 6 years ago
- [ICCV 2019 oral] Code for Semi-Supervised Learning by Augmented Distribution Alignment☆62Updated 3 years ago
- Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".☆102Updated 5 years ago
- ☆65Updated 6 years ago
- Deep Metric Transfer for Label Propagation with Limited Annotated Data☆49Updated 2 years ago
- AutoDIAL Caffe Implementation☆27Updated 7 years ago
- Implementation of "Adversarial Discriminative Domain Adaptation" on pytorch☆31Updated 8 years ago
- The Pytorch code of "Distribution Consistency based Covariance Metric Networks for Few-shot Learning", AAAI 2019.☆57Updated 4 years ago
- PyTorch implementation of Center Loss & Contrastive-Center Loss.☆64Updated 7 years ago
- Self-Paced Multi-view Co-training for person re-id experiment☆30Updated 4 years ago
- Few-Shot Learning with Global Class Representations☆74Updated 3 years ago
- [ICCV2019] Attract or Distract: Exploit the Margin of Open Set☆35Updated 4 years ago
- Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"☆119Updated 2 years ago
- Implementation of our accepted CVPR 2018 paper "Rethinking Feature Distribution for Loss Functions in Image Classification"☆173Updated 7 years ago
- Meta-Learning based Noise-Tolerant Training☆125Updated 4 years ago
- ☆20Updated 6 years ago
- A PyTorch implementation of "Image Deformation Meta-Networks for One-Shot Learning"(CVPR 2019 Oral).☆49Updated 4 years ago
- ☆58Updated last year
- EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning☆82Updated last year
- ☆30Updated 7 years ago
- Code release for OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer (TIP2020)☆45Updated 5 years ago
- Official Code of Paper HoMM: Higher-order Moment Matching for Unsupervised Domain Adaptation (AAAI2020)☆44Updated 5 years ago
- Lifelong Learning via Progressive Distillation and Retrospection☆14Updated 6 years ago
- Domain Adaptation Based on the Triplet Loss☆113Updated 6 years ago
- Implementation of "Generate To Adapt: Aligning Domains using Generative Adversarial Networks"☆142Updated 5 years ago
- PyTorch implementation of Weighted Batch-Normalization layers☆37Updated 4 years ago
- Code for paper "Unsupervised Domain Adaptation using Feature-Whitening and Consensus Loss" (CVPR 2019)☆64Updated 4 years ago
- Code release for "Transferable Normalization: Towards Improving Transferability of Deep Neural Networks" (NeurIPS 2019)☆79Updated 4 years ago
- Code for ICML2020 "Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation"☆90Updated 4 years ago
- Source code accompanying our CVPR 2019 paper: "NetTailor: Tuning the architecture, not just the weights."☆53Updated 3 years ago