drnet_cvpr2017
Visual relationship detector
This project presents a deep neural network architecture designed to detect visual relationships in images.
Detecting Visual Relationships with Deep Relational Networks
202 stars
14 watching
49 forks
Language: Python
last commit: over 3 years ago Related projects:
| Repository | Description | Stars |
|---|---|---|
 yangxuntu/vrd | This repository provides a framework for visual relationship detection using deep learning models and pre-processing tools. | 94 |
 lz118/deep-correlation-network | Develops a deep neural network model for detecting salient objects in RGBT images using correlation information from other colors. | 13 |
 msracver/relation-networks-for-object-detection | An implementation of an object detection framework that incorporates relation networks and deformable convolutions | 1,096 |
 prof-lu-cewu/visual-relationship-detection | Detects relationships and predicts predicates in images using language priors | 214 |
 nexusapoorvacus/deepvariationstructuredrl | An implementation of reinforcement learning for visual relationship and attribute detection using PyTorch. | 63 |
 jiwei0921/dmra | A Python implementation of a depth-induced multi-scale recurrent attention network for RGB-D saliency detection | 105 |
 kimhc6028/relational-networks | A PyTorch implementation of a neural network module for relational reasoning in computer vision tasks | 809 |
 zhengpeng7/birefnet | An open-source implementation of an image segmentation model that combines background removal and object detection capabilities. | 1,484 |
 imatge-upc/saliency-2016-cvpr | This project proposes a solution to predict salient areas in images using convolutional neural networks. | 186 |
 charlesq34/frustum-pointnets | A deep learning framework for 3D object detection from RGB-D data | 1,598 |
 yuwenxiong/py-r-fcn | An implementation of R-FCN, an object detection algorithm using region-based fully convolutional networks. | 1,048 |
 xiaolonw/adversarial-frcnn | A Caffe-based implementation of A-Fast-RCNN, a method for object detection using adversarial networks. | 482 |
 fyu/drn | An open-source implementation of dilated residual networks for image classification and segmentation tasks. | 1,104 |
 hciilab/derpn | Improves object detection by generating region proposals with increased adaptivity. | 156 |
 muyang0320/tensorflow-deeplab-resnet-crf | An implementation of DeepLab-ResNet in TensorFlow for semantic image segmentation | 18 |