YonghaoXu / SEANet
[AAAI 2019] Self-Ensembling Attention Networks: Addressing Domain Shift for Semantic Segmentation
☆102Updated 3 years ago
Alternatives and similar repositories for SEANet:
Users that are interested in SEANet are comparing it to the libraries listed below
- Code for Universal Semi-Supervised Semantic Segmentation models paper accepted in ICCV 2019☆71Updated 4 years ago
- Code for <Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training> in ECCV18☆190Updated 5 years ago
- Pytorch Implementation -- All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation, CVPR 20…☆144Updated 2 months ago
- Data-Driven Neuron Allocation for Scale Aggregation Networks☆52Updated 5 years ago
- (ECCV2018) Self-produced Guidance for Weakly-supervised Object Localization☆147Updated 5 years ago
- An unofficial implementation of non-local deep features for salient object detection☆39Updated 5 years ago
- (CVPR2018) Adversarial Complementary Learning for Weakly Supervised Object Localization☆164Updated 6 years ago
- Scene Segmentation with Dual Relation-aware Attention Network (TNNLS2020)☆42Updated 4 years ago
- Self-Erasing Network for Integral Object Attention☆54Updated 6 years ago
- Code for Constructing Self-motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach☆72Updated 5 years ago
- Weakly Supervised Segmentation by Tensorflow. Implements semantic segmentation in Simple Does It: Weakly Supervised Instance and Semantic…☆55Updated 3 years ago
- My Implementation of the deeplab_v1 (known as deeplab large fov)☆28Updated 5 years ago
- Code for "Domain Adaptation for Semantic Segmentation with Maximum Squares Loss" in PyTorch.☆113Updated last year
- DANet: Divergent Activation for Weakly Supervised Object Localization，in ICCV 2019☆63Updated 3 years ago
- The pytorch implementation of self-supervised scale equivariant network for weakly supervised semantic segmentation.☆101Updated 4 years ago
- A flexible tool for building and sharing deep learning modules.☆44Updated 6 years ago
- List of useful codes and papers for weakly supervised Semantic/Instance/Panoptic/Few Shot Segmentation☆173Updated 3 years ago
- Code for our paper "Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-grained Image Recognitio…☆53Updated 3 years ago
- This is the PyTorch implementation of our paper "Cross-X learning for Fine-Grained Visual Categorization"☆74Updated 5 years ago
- Benchmarks for Semantic Segmentation.☆62Updated 5 years ago
- Learning with Noisy Class Labels for Instance Segmentation☆28Updated 3 years ago
- ☆33Updated 7 years ago
- Adaptive Masked Proxies for Few Shot Semantic Segmentation☆107Updated last year
- Learning Integral Objects with Intra-Class Discriminator for Weakly-Supervised Semantic Segmentation☆71Updated 3 years ago
- A PyTorch collection of semantic segmentation tools.☆32Updated 5 years ago
- ShanghaiTech PLUS Lab Segmentation Toolbox and Benchmark☆21Updated 5 years ago
- Pytorch implementation of Deeplab Large-FOV☆29Updated 6 years ago
- ☆76Updated 5 years ago
- Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes, ICCV 2017☆129Updated 4 years ago