neural-motifs
by rowanz
Code for Neural Motifs: Scene Graph Parsing with Global Context (CVPR 2018)
AI summary
Scene Graph Parser
A software framework for scene graph parsing with global context using PyTorch and Visual Genome data.
- stars
- 526
- forks
- 116
- watching
- 16
Similar projects
Found by comparing what the projects do, not just their names.
Scene Graph Models
A collection of PyTorch implementations of various scene graph generation models
Graph Neural Network Model
A PyTorch implementation of a graph neural network model that learns personalized node representations
Scene graph benchmark
A PyTorch implementation of Scene Graph Generation methods with support for visualization and evaluation on custom images
Neural net architecture
An implementation of a deep neural network architecture for image classification tasks
Temporal graph NN library
A PyTorch extension for building temporal graph neural networks with support for recurrent and attention-based models
Scene graph parser
An implementation of contrastive losses for scene graph parsing using PyTorch
Graph classifier
A PyTorch implementation of a semi-supervised graph classification model that learns hierarchical representations from labeled and unlabeled graph data.
Graph processor
An implementation of a neural network architecture designed to process graph-structured data
Visual detection model
An implementation of reinforcement learning for visual relationship and attribute detection using PyTorch.
Graph classifier
An implementation of a graph classification model using structural attention and PyTorch
Image generator
PyTorch implementation of a scene-based text-to-image generation system with human priors using Generative Adversarial Networks and semantic segmentation
Semantic Segmentation Model
An implementation of a deep learning model using PyTorch for semantic segmentation tasks.
Language model
An implementation of DeepMind's Relational Recurrent Neural Networks (Santoro et al. 2018) in PyTorch for word language modeling
Graph neural network
An implementation of a neural network architecture for processing graph-structured data and making predictions on nodes.
Relational Network Model
A PyTorch implementation of a neural network module for relational reasoning in computer vision tasks
