maple-research-lab / WCPLinks
Source code for "WCP: Worst-Case Perturbations for Semi-Supervised Deep Learning" in CPVR 2020.
☆23Updated 4 years ago
Alternatives and similar repositories for WCP
Users that are interested in WCP are comparing it to the libraries listed below
Sorting:
- EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning☆82Updated last year
- [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
- PyTorch Vision Toolbox not only for deep-clustering☆30Updated 2 years ago
- Self-Supervised Representation Learning by Rotation Feature Decoupling☆95Updated 6 years ago
- Code for Universal Semi-Supervised Semantic Segmentation models paper accepted in ICCV 2019☆71Updated 5 years ago
- Attention \ Saliency maps and features visualization for deep learning models in pytorch☆29Updated 5 years ago
- self-supervised domain adaptation☆49Updated 5 years ago
- A2LP for short, ECCV2020 spotlight, Investigating SSL principles for UDA problems☆20Updated 4 years ago
- Code for "Domain Adaptation for Semantic Segmentation with Maximum Squares Loss" in PyTorch.☆113Updated last year
- Self-Supervised Feature Learning by Learning to Spot Artifacts. In CVPR, 2018.☆18Updated 2 years ago
- CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images☆29Updated 6 years ago
- Batch-Instance Normalization (BIN)☆78Updated 5 years ago
- Source code of our submission (Rank 1) for Multi-Source Domain Adaptation task in VisDA-2019☆51Updated 5 years ago
- Deeply-supervised Knowledge Synergy (CVPR'2019)☆67Updated 3 years ago
- Code for Paper ''Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning'' [ICCV 2019]☆118Updated 4 years ago
- [ICCV 2019 oral] Code for Semi-Supervised Learning by Augmented Distribution Alignment☆62Updated 3 years ago
- Offical code base for the ECCV oral paper "Synthesize then Compare: Detecting Failures and Anomalies for Semantic Segmentation"☆60Updated 4 years ago
- [AAAI 2019] Self-Ensembling Attention Networks: Addressing Domain Shift for Semantic Segmentation☆102Updated 4 years ago
- Tensorflow implementation for this paper.☆22Updated 5 years ago
- [ECCV2020] Content-Consistent Matching for Domain Adaptive Semantic Segmentation☆94Updated last year
- Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes, ICCV 2017☆129Updated 4 years ago
- ☆69Updated 4 years ago
- 16824 homework: weakly supervised object detection with PyTorch☆13Updated 6 years ago
- [CVPR2019] NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction☆55Updated 5 years ago
- pytorch implementation of fcn in the wild☆25Updated 2 years ago
- Tensorflow Implementation on Paper [ECCV2018]Semi-Supervised Deep Learning with Memory☆47Updated 6 years ago
- DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks https://arxiv.org/abs/1901.09229☆66Updated 4 years ago
- Train and evaluate VOC 2007 / 2012 image classification models. We used this code to evaluate several feature learning algorithms.☆48Updated 8 years ago
- Code release for OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer (TIP2020)☆45Updated 5 years ago