Scene-Graph-Benchmark.pytorch
Scene graph benchmark
A PyTorch implementation of Scene Graph Generation methods with support for visualization and evaluation on custom images
A new codebase for popular Scene Graph Generation methods (2020). Visualization & Scene Graph Extraction on custom images/datasets are provided. It's also a PyTorch implementation of paper “Unbiased Scene Graph Generation from Biased Training CVPR 2020”
1k stars
17 watching
228 forks
Language: Jupyter Notebook
last commit: almost 2 years agoRelated projects:
| Repository | Description | Stars |
|---|---|---|
| kaihuatang/vctree-scene-graph-generation | Generates scene graphs from visual contexts using dynamic tree structures | 121 |
 jwyang/graph-rcnn.pytorch | A collection of PyTorch implementations of various scene graph generation models | 732 |
 yuweihao/kern | An open-source implementation of a graph neural network architecture for scene graph generation in computer vision | 121 |
 ashual/scene_generation | A PyTorch implementation of a deep learning-based method for generating interactive scenes with specified object attributes and relations | 188 |
 kaiyangzhou/dassl.pytorch | A PyTorch toolbox for supporting research and development of domain adaptation, generalization, and semi-supervised learning methods in computer vision. | 1,236 |
 yikang-li/msdn | An implementation of a multi-level scene description network in PyTorch for generating scene graphs from object, phrase, and region captions. | 227 |
 felixgwu/img_classification_pk_pytorch | A PyTorch project for comparing image classification models and facilitating quick experiment setup | 366 |
 rowanz/neural-motifs | A software framework for scene graph parsing with global context using PyTorch and Visual Genome data. | 526 |
 nvidia/contrastivelosses4vrd | An implementation of contrastive losses for scene graph parsing using PyTorch | 199 |
 blade6570/photographicimagesynthesiswithcascadedrefinementnetworks-pytorch | An implementation of cascaded refinement networks for generating photorealistic images from semantic layouts | 65 |
 etpinard/karma-benchmark-plotly-reporter | Generates visualizations of benchmark results using plotly graphs | 4 |
 kenneth-wong/scenegraph_mem | Research software implementing scene graph generation methods from CVPR 2019 paper | 4 |
 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 |
 yiwuzhong/sub-gc | A PyTorch implementation of image captioning models via scene graph decomposition. | 96 |
 chengzhag/deeppanocontext | A PyTorch-based framework for 3D scene understanding with holistic context graph and relation-based optimization in panoramic images | 90 |