Alternatives and similar repositories for mnist-superpixel:

Users that are interested in mnist-superpixel are comparing it to the libraries listed below

• machine-reasoning-ufrgs / spixel-gat
  Companion code of "Superpixel Image Classification with GraphAttention Networks"
  ☆28Updated 4 years ago
• bknyaz / bmvc_2019
  PyTorch code for our BMVC 2019 paper "Image Classification with Hierarchical Multigraph Networks"
  ☆60Updated 4 years ago
• samleoqh / MSCG-Net
  Multi-view Self-Constructing Graph Convolutional Networks with Adaptive Class Weighting Loss for Semantic Segmentation
  ☆67Updated last year
• 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
• zhengyang-wang / sopool-gnns
  Second-Order Pooling for Graph Neural Networks
  ☆16Updated 4 years ago
• rusty1s / graph-based-image-classification
  Implementation of Planar Graph Convolutional Networks in TensorFlow
  ☆43Updated 7 years ago
• ReML-AI / MGTN
  Modular Graph Transformer Networks
  ☆21Updated 3 years ago
• dawenzi123 / DAGCN
  Dual Attention Graph Convolutional Network
  ☆88Updated 3 years ago
• hjjpku / Attention_in_Graph
  attention mechanism for graph classification, significant sub-graph mining, graph disstillation
  ☆38Updated 4 years ago
• rusty1s / embedded_gcnn
  Embedded Graph Convolutional Neural Networks (EGCNN) in TensorFlow
  ☆78Updated 6 years ago
• gmum / geo-gcn
  The official implementation of the SGCN architecture.
  ☆62Updated 3 years ago
• mafeimf / Attention-Graph-Convolution-Network-for-Image-Segmentation-in-Big-SAR-Imagery-Data
  the code of paper "Attention Graph Convolution Network for Image Segmentation in Big SAR Imagery Data"
  ☆65Updated 4 years ago
• davide-belli / generative-graph-transformer
  PyTorch implementation of "Image-Conditioned Graph Generation for Road Network Extraction"
  ☆77Updated 6 months ago
• ushasi / Image-to-Region-Adjacency-Graph-creation
  Convertion of an RGB image to a Region Adjacency Graph (RAG) using SLIC super-pixel based segmentation technique.
  ☆13Updated 3 years ago
• julianschoep / SGRLayer
  Pure Tensorflow implementation of the SGR layer as proposed in "Symbolic Graph Reasoning Meets Convolutions" .
  ☆19Updated 3 years ago
• bknyaz / examples
  Some code examples
  ☆43Updated 4 years ago
• ltp1995 / GCAGC-CVPR2020
  GCAGC, CVPR2020, GCAGC-Inst, TMM2021. Adaptive Graph Convolutional Network with Attention Graph Clustering for Co-saliency Detection
  ☆38Updated 3 years ago
• rsinghlab / GNN-Tumor-Seg
  Using Graph Neural Networks to Segment MRIs of Brain Tumors
  ☆22Updated 2 years ago
• mulinmeng / GraphU-Net
  pytorch geometric version
  ☆12Updated 5 years ago
• DeepLearnPhysics / dynamic-gcnn
  Dynamic Graph Convolutional Neural Network for 3D point cloud semantic segmentation
  ☆64Updated 6 years ago
• yiskw713 / DualAttention_for_Segmentation
  This is the repository for re-implementation of dual attention network with pytorch.
  ☆21Updated 5 years ago
• bknyaz / graph_attention_pool
  Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)
  ☆284Updated 4 years ago
• VSainteuf / metric-guided-prototypes-pytorch
  PyTorch implementation of Metric-Guided Prototype Learning for hierarchical classification.
  ☆26Updated 3 years ago
• rodsom22 / gcn_refinement
  ☆36Updated 2 years ago
• lzrobots / DGCNet
  Pytorch implementation of BMVC 2019 paper Dual Graph Convolutional Network for Semantic Segmentation.
  ☆25Updated 4 years ago
• danielegrattarola / decimation-pooling
  Code for "Hierarchical Representation Learning in Graph Neural Networks with Node Decimation Pooling" (TNNLS 2020).
  ☆23Updated 4 years ago
• ZhuangCY / DGCN
  Dual Graph Convolution Networks
  ☆93Updated 6 years ago
• VITA-Group / L2-GCN
  [CVPR 2020] L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks
  ☆30Updated 3 years ago
• KMarino / GSNN_TMYN
  ☆27Updated 6 years ago
• Xavier-Pan / WSGCN
  ☆28Updated 3 years ago