neural-motifs
Scene Graph Parser
A software framework for scene graph parsing with global context using PyTorch and Visual Genome data.
Code for Neural Motifs: Scene Graph Parsing with Global Context (CVPR 2018)
526 stars
16 watching
116 forks
Language: Python
last commit: over 5 years ago pytorchscene-graphvisionvisual-genome
Related projects:
Repository | Description | Stars |
---|---|---|
jwyang/graph-rcnn.pytorch | A collection of PyTorch implementations of various scene graph generation models | 732 |
benedekrozemberczki/appnp | A PyTorch implementation of a graph neural network model that learns personalized node representations | 367 |
kaihuatang/scene-graph-benchmark.pytorch | A PyTorch implementation of Scene Graph Generation methods with support for visualization and evaluation on custom images | 1,085 |
dyhan0920/pyramidnet-pytorch | An implementation of a deep neural network architecture for image classification tasks | 273 |
benedekrozemberczki/pytorch_geometric_temporal | A PyTorch extension for building temporal graph neural networks with support for recurrent and attention-based models | 2,694 |
nvidia/contrastivelosses4vrd | An implementation of contrastive losses for scene graph parsing using PyTorch | 199 |
benedekrozemberczki/seal-ci | A PyTorch implementation of a semi-supervised graph classification model that learns hierarchical representations from labeled and unlabeled graph data. | 209 |
benedekrozemberczki/pdn | An implementation of a neural network architecture designed to process graph-structured data | 58 |
nexusapoorvacus/deepvariationstructuredrl | An implementation of reinforcement learning for visual relationship and attribute detection using PyTorch. | 63 |
benedekrozemberczki/gam | An implementation of a graph classification model using structural attention and PyTorch | 270 |
casualganpapers/make-a-scene | PyTorch implementation of a scene-based text-to-image generation system with human priors using Generative Adversarial Networks and semantic segmentation | 334 |
javeywang/pyramid-attention-networks-pytorch | An implementation of a deep learning model using PyTorch for semantic segmentation tasks. | 237 |
l0sg/relational-rnn-pytorch | An implementation of DeepMind's Relational Recurrent Neural Networks (Santoro et al. 2018) in PyTorch for word language modeling | 245 |
chingyaoc/ggnn.pytorch | An implementation of a neural network architecture for processing graph-structured data and making predictions on nodes. | 466 |
kimhc6028/relational-networks | A PyTorch implementation of a neural network module for relational reasoning in computer vision tasks | 809 |