One-Hundred-Layers-Tiramisu
Image Segmentation Model
An implementation of a state-of-the-art deep learning model for semantic image segmentation
Keras Implementation of The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation by (Simon Jégou, Michal Drozdzal, David Vazquez, Adriana Romero, Yoshua Bengio)
197 stars
9 watching
54 forks
Language: Jupyter Notebook
last commit: 6 months ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
hasnainraz/fc-densenet-tensorflow | Re-implementation of a 100-layer fully convolutional network architecture for image segmentation | 123 |
zhengpeng7/birefnet | An implementation of a deep learning-based image segmentation model for high-resolution images | 1,319 |
bonlime/keras-deeplab-v3-plus | An implementation of Deeplabv3+ in Keras with pretrained weights and customization options for semantic image segmentation. | 1,358 |
nicolov/segmentation_keras | An implementation of a deep learning model for image segmentation using Keras and dilated convolutions | 301 |
vladkryvoruchko/pspnet-keras-tensorflow | An implementation of a deep learning model for image segmentation using TensorFlow and Keras | 394 |
preritj/segmentation | Deep learning models for semantic segmentation of images | 100 |
zfturbo/zf_unet_224_pretrained_model | A pre-trained convolutional neural network model for image segmentation tasks. | 214 |
fregu856/segmentation | An implementation of the ENet model for semantic segmentation in images, trained on the Cityscapes dataset. | 245 |
ykamikawa/tf-keras-segnet | An implementation of SegNet architecture for semantic segmentation using tensorflow and keras. | 178 |
pavlosmelissinos/enet-keras | An implementation of a deep neural network architecture for real-time semantic segmentation in Python. | 115 |
joker316701882/deep-image-matting | An implementation of a deep learning model for separating foreground and background in images | 625 |
zhujun98/semantic_segmentation | Implementations of deep learning architectures for semantic segmentation of images in various datasets. | 6 |
0bserver07/keras-segnet-basic | An implementation of the SegNet-Basic deep learning model for image segmentation using Keras and convolutional neural networks. | 83 |
mitmul/ssai-cnn | Semantic segmentation using convolutional neural networks for aerial and satellite images | 260 |
speedinghzl/ccnet | An implementation of a deep learning model for semantic segmentation using a novel attention mechanism to capture long-range dependencies in images. | 1,426 |