sagieppel / Focusing-attention-of-Fully-convolutional-neural-networks-on-Region-of-interest-ROI-input-map-Links
This project contains code for a fully convolutional neural network (FCN) for semantic segmentation with a region of interest (ROI) map as an additional input (Figure 1). The net receives image and ROI as a binary map with pixels corresponding to ROI marked 1, and produce pixel-wise annotation of the ROI region of the image. The method is based …
☆48Updated 4 years ago
Alternatives and similar repositories for Focusing-attention-of-Fully-convolutional-neural-networks-on-Region-of-interest-ROI-input-map-
Users that are interested in Focusing-attention-of-Fully-convolutional-neural-networks-on-Region-of-interest-ROI-input-map- are comparing it to the libraries listed below
Sorting:
- ☆94Updated 7 years ago
- use tensorflow slim to realize Class Activation Map in Googlenet☆45Updated 7 years ago
- a tensorflow implement of refinenet ,RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation☆131Updated 7 years ago
- an implementation of path aggregation network based on mattport mask-rcnn☆36Updated 7 years ago
- You Only Look Once by Pytorch☆33Updated 2 years ago
- PFNet: A Novel Part Fusion Network for Fine-grained Visual Categorization☆28Updated 6 years ago
- A method for Fine-Grained image classification☆42Updated 5 years ago
- Fine-grained classification of bird images from Caltech-UCSD Birds-200-2011 dataset☆47Updated 8 years ago
- A practical example on how to combine both a CNN and a RNN to classify images.☆53Updated 8 years ago
- PyTorch baseline for AI challenger Scene classification☆95Updated 7 years ago
- Dual Path Networks for Keras 2.0+☆113Updated 5 years ago
- Side-output Residual Network for Object Symmetry Detection in the Wild☆67Updated 4 years ago
- 3D Dense Connected Convolutional Network (3D-DenseNet for action recognition)☆119Updated 6 years ago
- Pytorch implementation of different edge detection networks, such as Holistically-Nested Edge Detection and PixelNet☆33Updated 7 years ago
- Multi-Scale Context Aggregation by Dilated Convolutions in Keras.☆71Updated 6 years ago
- ☆73Updated 7 years ago
- Implementation of RetinaNet in TensorFlow☆25Updated 7 years ago
- DeeplabV2 segmentation in Keras.☆41Updated 6 years ago
- PyTorch Implementation of Stacked U-Nets (SUNets)☆153Updated 6 years ago
- pytorch codes☆51Updated 6 years ago
- [SAIN'18] [Caffe] A dilated version of FCN with Stride 2 for Efficient Semantic Segmentation☆33Updated 5 years ago
- ☆61Updated 7 years ago
- Given a pre-trained CNN, generate saliency map for an input image corresponding to the output label of interest.☆51Updated 9 years ago
- PyTorch implementation of the Mask-X-RCNN network proposed in the 'Learning to Segment Everything' paper by Facebook AI Research☆156Updated 7 years ago
- Scene classification task in AI Challenger competition☆68Updated 7 years ago
- ShuffleNet Implementation using Keras Functional Framework 2.0☆77Updated 5 years ago
- Richer Convolutional Features for Edge Detection☆20Updated 8 years ago
- Feature Map Inversion to visualize what feature a filter extract from input image in CNNs☆30Updated 9 years ago
- Tensorflow Slim Grad-Cam to Explain Neural Network Predictions with Heatmap or Shading☆167Updated 7 years ago
- ☆66Updated 7 years ago