ray-lee-94 / affinity-loss-pytorchLinks
pytorch implementation affinity loss
☆11Updated 6 years ago
Alternatives and similar repositories for affinity-loss-pytorch
Users that are interested in affinity-loss-pytorch are comparing it to the libraries listed below
Sorting:
- Unofficial implementation of "Max-margin Class Imbalanced Learning with Gaussian Affinity"☆73Updated 4 years ago
- AffinityNet with feature attention layer and kNN attention pooling layer for few-shot semi-supervised learning☆38Updated 7 years ago
- Code for 'Joint Optimization Framework for Learning with Noisy Labels'☆39Updated 7 years ago
- [ECCV 2020] Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization☆48Updated 3 years ago
- (CVPR 2020 oral) DEPARA : Deep Attribution Graph for Deep Knowledge Transferbility☆41Updated 5 years ago
- EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning☆81Updated 2 years ago
- Self-Supervised Representation Learning by Rotation Feature Decoupling☆96Updated 6 years ago
- Source code for "WCP: Worst-Case Perturbations for Semi-Supervised Deep Learning" in CPVR 2020.☆23Updated 5 years ago
- Squeeze-and-Excitation module for convolutional neural networks written in PyTorch☆25Updated 7 years ago
- Batch-Instance Normalization (BIN)☆78Updated 6 years ago
- Orderless Recurrent Models for Multi-label Classification☆43Updated 5 years ago
- Robust Domain Adaptation under Noisy Environments☆18Updated 3 years ago
- Code for the paper "Training CNNs with Selective Allocation of Channels" (ICML 2019)☆25Updated 6 years ago
- Code for "Domain Adaptation for Semantic Segmentation with Maximum Squares Loss" in PyTorch.☆116Updated 2 years ago
- Zero-Shot Learning using GAN☆15Updated 8 years ago
- Pure Tensorflow implementation of the SGR layer as proposed in "Symbolic Graph Reasoning Meets Convolutions" .☆19Updated 4 years ago
- The official implementation of paper "Unsupervised Few-Shot Learning via Distribution Shift-based Augmentation"☆26Updated 3 years ago
- This is the Pytorch Re-Implementation of three Semi Supervised Classification method on Cifar-100 Dataset using ConvLarge Architecture☆38Updated 7 years ago
- DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks https://arxiv.org/abs/1901.09229☆66Updated 4 years ago
- ☆61Updated 5 years ago
- Code for Universal Semi-Supervised Semantic Segmentation models paper accepted in ICCV 2019☆72Updated 5 years ago
- Pytorch implementation of paper: [Tell Me Where to Look: Guided Attention Inference Network](http://openaccess.thecvf.com/content_cvpr_20…☆47Updated 6 years ago
- Virtual Adversarial Training (VAT) for semi-supervised MNIST written in PyTorch: https://arxiv.org/abs/1704.03976☆25Updated 6 years ago
- Few-Shot Learning with Global Class Representations☆74Updated 3 years ago
- self-supervised domain adaptation☆48Updated 6 years ago
- (ECCV2020) Inter-Image Communication for Weakly Supervised Localization☆30Updated 5 years ago
- CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images☆29Updated 7 years ago
- Code for Paper ''Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning'' [ICCV 2019]☆119Updated 5 years ago
- Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning☆159Updated 6 years ago
- PyTorch implementation of Probabilistic End-to-end Noise Correction for Learning with Noisy Labels, CVPR 2019.☆140Updated 6 years ago