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:
- (CVPR 2020 oral) DEPARA : Deep Attribution Graph for Deep Knowledge Transferbility☆41Updated 5 years ago
- AffinityNet with feature attention layer and kNN attention pooling layer for few-shot semi-supervised learning☆38Updated 7 years ago
- Unofficial implementation of "Max-margin Class Imbalanced Learning with Gaussian Affinity"☆73Updated 4 years ago
- [ECCV 2020] Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization☆48Updated 3 years ago
- Code for 'Joint Optimization Framework for Learning with Noisy Labels'☆39Updated 7 years ago
- Source code for "WCP: Worst-Case Perturbations for Semi-Supervised Deep Learning" in CPVR 2020.☆23Updated 5 years ago
- Robust Domain Adaptation under Noisy Environments☆18Updated 3 years ago
- Code for "Domain Adaptation for Semantic Segmentation with Maximum Squares Loss" in PyTorch.☆116Updated 2 years ago
- DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks https://arxiv.org/abs/1901.09229☆66Updated 4 years ago
- Pure Tensorflow implementation of the SGR layer as proposed in "Symbolic Graph Reasoning Meets Convolutions" .☆19Updated 4 years ago
- self-supervised domain adaptation☆48Updated 5 years ago
- Official implementation for: "Multi-Objective Interpolation Training for Robustness to Label Noise"☆41Updated 3 years ago
- Batch-Instance Normalization (BIN)☆78Updated 6 years ago
- Self-Supervised Representation Learning by Rotation Feature Decoupling☆95Updated 6 years ago
- A2LP for short, ECCV2020 spotlight, Investigating SSL principles for UDA problems☆20Updated 5 years ago
- PyTorch implementation of "Self-Paced Balance Learning for Clinical Skin Disease Recognition"☆52Updated last year
- code for "Training Interpretable Convolutional NeuralNetworks by Differentiating Class-specific Filters"☆29Updated 5 months ago
- Few-Shot Learning with Global Class Representations☆74Updated 3 years ago
- EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning☆81Updated 2 years ago
- The re-implement of NIPS 2018 paper: Conditional Adversarial Domain Adaptation☆22Updated 7 years ago
- Source code of our submission (Rank 1) for Multi-Source Domain Adaptation task in VisDA-2019☆51Updated 6 years ago
- Source code of our submission (Rank 2) for Semi-Supervised Domain Adaptation task in VisDA-2019☆16Updated 6 years ago
- Code for Universal Semi-Supervised Semantic Segmentation models paper accepted in ICCV 2019☆71Updated 5 years ago
- Adaptive Cross-Modal Few-shot learning OSS code. This is a ServiceNow Research project that was started at Element AI.☆65Updated 3 years ago
- Orderless Recurrent Models for Multi-label Classification☆43Updated 5 years ago
- Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning☆159Updated 6 years ago
- Several SSL methods (Pi model, Mean Teacher) are implemented in pytorch☆83Updated 7 years ago
- ICLR 2021, "Learning with feature-dependent label noise: a progressive approach"☆44Updated 3 years ago
- The official implementation of paper "Unsupervised Few-Shot Learning via Distribution Shift-based Augmentation"☆26Updated 3 years ago
- Code for reproducing ICT (published in Neural Networks 2022, and in IJCAI 2019)☆148Updated 3 years ago