DeepVariationStructuredRL
Visual detection model
An implementation of reinforcement learning for visual relationship and attribute detection using PyTorch.
A PyTorch implementation of the "Deep Variation-structured Reinforcement Learning for Visual Relationship and Attribute Detection" paper by Liang et. al.
63 stars
6 watching
12 forks
Language: Python
last commit: over 7 years agoRelated projects:
| Repository | Description | Stars |
|---|---|---|
 javeywang/pyramid-attention-networks-pytorch | An implementation of a deep learning model using PyTorch for semantic segmentation tasks. | 237 |
 isht7/pytorch-deeplab-resnet | A deep learning model implementation of the DeepLab ResNet architecture for image segmentation tasks. | 602 |
 davidmascharka/tbd-nets | An open-source implementation of a deep learning model designed to improve the balance between performance and interpretability in visual reasoning tasks. | 348 |
 kimhc6028/relational-networks | A PyTorch implementation of a neural network module for relational reasoning in computer vision tasks | 809 |
 mrgemy95/visual-interaction-networks-pytorch | An implementation of Deepmind's Visual Interaction Networks using PyTorch to predict future events in physical scenes. | 166 |
 oyam/pytorch-dpns | PyTorch implementation of a deep learning model for image segmentation | 90 |
 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 |
 4uiiurz1/pytorch-res2net | Implementations of deep learning architectures using PyTorch for image classification tasks on various datasets. | 112 |
 orobix/visual-feature-attribution-using-wasserstein-gans-pytorch | A PyTorch implementation of a feature attribution technique using Wasserstein Generative Adversarial Networks for anomaly detection in medical images. | 93 |
 l0sg/relational-rnn-pytorch | An implementation of DeepMind's Relational Recurrent Neural Networks (Santoro et al. 2018) in PyTorch for word language modeling | 245 |
 tristandeleu/pytorch-maml-rl | Replication of Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks in PyTorch for reinforcement learning tasks | 830 |
| 4uiiurz1/pytorch-nested-unet | An implementation of a deep learning model for image segmentation using PyTorch | 868 |
 zhanghang1989/pytorch-encoding | A Python framework for building deep learning models with optimized encoding layers and batch normalization. | 2,044 |
 doubledaibo/drnet_cvpr2017 | This project presents a deep neural network architecture designed to detect visual relationships in images. | 202 |
 kunpengli1994/vsrn | An open-source PyTorch implementation of a visual semantic reasoning model for image-text matching | 294 |