abheesht17 / super-pixels
Code for our paper: Superpixel-based Domain-Knowledge Infusion in Computer Vision (https://arxiv.org/abs/2105.09448)
☆19Updated 2 years ago
Alternatives and similar repositories for super-pixels
Users that are interested in super-pixels are comparing it to the libraries listed below
Sorting:
- MWP for superpixel GNN classification☆26Updated 5 years ago
- Self-Supervised Semantic Segmentation using BYOL(Bootstrap your own Latent) and fine tuning using FCN8s(Fully Convolutional Network)☆25Updated 3 years ago
- Official PyTorch Code for Hybrid Window Attention Based Transformer Architecture for Brain Tumor Segmentation: Solution for FeTS 2022 Tas…☆9Updated 2 years ago
- On uncertainty estimation in active learning for image segmentation☆12Updated 4 years ago
- Multi-view Self-Constructing Graph Convolutional Networks with Adaptive Class Weighting Loss for Semantic Segmentation☆67Updated last year
- PyTorch code for our BMVC 2019 paper "Image Classification with Hierarchical Multigraph Networks"☆60Updated 4 years ago
- Reimplementation of "Autoregressive Unsupervised Image Segmentation" by Ouali et al (ECCV 2020)☆24Updated 3 years ago
- Companion code of "Superpixel Image Classification with GraphAttention Networks"☆29Updated 4 years ago
- Covid-19 Detection Experiments☆36Updated 4 years ago
- Official implementation of "Clustering as Attention: Unified Image Segmentation with Hierarchical Clustering"☆31Updated 2 years ago
- The source code of 'Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image Classification' (MICCAI 2021)☆18Updated 3 years ago
- Pytorch code for the paper "Deep Active Learning for Joint Classification and Segmentation with Weak Annotator"☆29Updated 2 years ago
- An education step by step implementation of SimCLR that accompanies the blogpost☆32Updated 3 years ago
- Code for meta-learning initializations for image segmentation☆32Updated 3 years ago
- Using Graph Neural Networks to Segment MRIs of Brain Tumors☆23Updated 2 years ago
- Supervised and semi-supervised image classification with self-supervised regularization.☆36Updated 3 years ago
- ☆43Updated 3 years ago
- HERS Superpixels: Deep Affinity Learning for Hierarchical Entropy Rate Segmentation☆13Updated 3 years ago
- ☆36Updated 2 years ago
- Hyperbolic Image Segmentation, CVPR 2022☆86Updated 2 years ago
- ☆59Updated last year
- Codes for "Few-shot Image Classification: Just Use a Library of Pre-trained Feature Extractors and a Simple Classifier"☆32Updated 3 years ago
- Code for our method MaskSplit. Paper is available at https://arxiv.org/abs/2110.12207.☆20Updated 3 years ago
- Code for the paper "MSMatch: Semi-Supervised Multispectral Scene Classification with Few Labels"☆26Updated 2 months ago
- Repository for implementation of active learning and semi-supervised learning algorithms and applying them to medical imaging datasets☆16Updated 4 years ago
- PyTorch implementation of "Segmenter: Transformer for Semantic Segmentation" Strudel et al. (2021)☆18Updated 3 years ago
- Curriculum learning for improved femur fracture classification: scheduling data with prior knowledge and uncertainty. Medical Image Analy…☆18Updated 3 years ago
- A PyTorch implementation of CMT based on paper CMT: Convolutional Neural Networks Meet Vision Transformers.☆70Updated 2 years ago
- Numpy/Python implementation of DenseCRF☆23Updated 2 years ago
- ☆8Updated 2 years ago