raziehkaviani / rdosrLinks
Representative-Discriminative Open-set Recognition
☆31Updated 4 years ago
Alternatives and similar repositories for rdosr
Users that are interested in rdosr are comparing it to the libraries listed below
Sorting:
- Code for the Paper: "Conditional Variational Capsule Network for Open Set Recognition", Y. Guo, G. Camporese, W. Yang, A. Sperduti, L. Ba…☆46Updated 2 years ago
- Code release for Mind the Gap: Enlarging the Domain Gap in Open Set Domain Adaptation (TCSVT 2023)☆24Updated 2 years ago
- Pure Tensorflow implementation of the SGR layer as proposed in "Symbolic Graph Reasoning Meets Convolutions" .☆19Updated 4 years ago
- The code for "Weakly Supervised Adversarial Domain Adaptation for Semantic Segmentation in Urban Scenes (TIP2019)"☆20Updated 5 years ago
- [TPAMI 2021] Code release for "Generalized Domain Conditioned Adaptation Network" https://arxiv.org/abs/2103.12339☆44Updated 3 years ago
- [CVPR 2021 Oral] Code release for "Transferable Semantic Augmentation for Domain Adaptation"☆75Updated 4 years ago
- Scene Classification with Recurrent Attention of VHR Remote Sensing Images☆24Updated 5 years ago
- PyTorch code for our paper: Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Gene…☆92Updated 3 years ago
- ☆23Updated 6 years ago
- Codes for "Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain Adaptation" in CVPR 2021☆68Updated 3 years ago
- A Two Stage Adaptation Network (TSAN) for remote sensing images classification under single-source-mixed-multiple-target domain adaptatio…☆16Updated 2 years ago
- ☆24Updated 5 years ago
- PyTorch code for the paper "Curriculum Graph Co-Teaching for Multi-target Domain Adaptation" (CVPR2021)☆104Updated 4 years ago
- TPAMI2020 "Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and Practice"☆74Updated 4 years ago
- Pytorch Code release for our NeurIPS paper "Multi-source Domain Adaptation for Semantic Segmentation"☆175Updated 5 years ago
- [CVPR 2020] Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation☆92Updated 3 years ago
- PyTorch code for the paper: "FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning"☆50Updated 4 years ago
- ☆18Updated 5 years ago
- Rotation-based Open Set☆41Updated 2 years ago
- Pytorch codes for NeurIPS 2021 paper titled "Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data".☆32Updated 3 years ago
- Spatial Contrastive Learning for Few-Shot Classification (ECML/PKDD 2021).