VaticanCameos99 / knowledge-distillation-for-unetLinks
An implementation of Knowledge distillation for segmentation, to train a small (student) UNet from a larger (teacher) UNet thereby reducing the size of the network while achieving performance similar to the heavier model.
☆53Updated 5 years ago
Alternatives and similar repositories for knowledge-distillation-for-unet
Users that are interested in knowledge-distillation-for-unet are comparing it to the libraries listed below
Sorting:
- ☆136Updated 4 years ago
- An unofficial pytorch implementation for "Learning Active Contour Models for Medical Image Segmentation" by Chen, Xu, et al.☆75Updated 6 months ago
- PyTorch implementation of Mobile-UNet.☆28Updated 2 years ago
- Decoder architecture based on the UNet++. Combining residual bottlenecks with depthwise convolutions and attention mechanisms, it outperf…☆66Updated 3 years ago
- A PyTorch implementation of Gated-SCNN based on ICCV 2019 paper "Gated-SCNN: Gated Shape CNNs for Semantic Segmentation"☆28Updated 4 years ago
- Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers☆197Updated 4 years ago
- pytorch implementation of SEG-GRAD-CAM,which based on grad-cam☆51Updated 4 years ago
- [MICCAI 2021] BiX-NAS: Searching Efficient Bi-directional Architecture for Medical Image Segmentation☆38Updated 2 years ago
- DDANet: Dual Decoder Attention Network for automatic Polyp Segmentation [International Conference on Pattern Recognition 2021]☆29Updated last year
- RAUNet: Residual Attention U-Net for Semantic Segmentation of Cataract Surgical Instruments (ICONIP19)☆53Updated 4 years ago
- Pytorch implementation of FCN, UNet, PSPNet, and various encoder models.☆86Updated 4 years ago
- [PR2022] The Code of “EANet: Iterative Edge Attention Network for Medical Image Segmentation”☆59Updated 3 years ago
- Usage of Multi-task deep learning network for semantic segmentation in medical images☆131Updated 4 years ago
- Pytorch code for CVPR2021 paper "Learning Statistical Texture for Semantic Segmentation"☆94Updated 3 years ago
- Pytorch re-implementation of boundary loss, proposed in "Boundary Loss for Remote Sensing Imagery Semantic Segmentation"☆99Updated 4 years ago
- use FPN to FPN-Semantic-segmentation。pytorch version☆50Updated 5 years ago
- Implementations of "Learning Euler's Elastica Model for Medical Image Segmentation"☆74Updated 4 years ago
- Implementation of research paper : "PraNet: Parallel Reverse Attention Network for Polyp Segmentation" in Tensorflow☆21Updated 3 years ago
- ☆60Updated 2 years ago
- Implementation of SETR model, Original paper: Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers.☆132Updated 4 years ago
- Official repository for Active Boundary Loss for Semantic Segmentation.☆75Updated 2 years ago
- Repo for ICPR2020 paper "Crack Detection as a Weakly-Supervised Problem: Towards Achieving Less Annotation-Intensive Crack Detectors"☆17Updated 4 years ago
- ☆15Updated 2 years ago
- Segmentation for vertebra in MR images☆108Updated 3 years ago
- Official implementation code for Attention Swin U-Net: Cross-Contextual Attention Mechanism for Skin Lesion Segmentation paper☆62Updated last year
- (MICCAI 2021 [MSNet] & MICCAI 2022 GOALS Challenge [M2SNet]) Multi-scale in Multi-scale Subtraction Network for Medical Image Segmentatio…☆126Updated last year
- Official implementation of the Generalized Wasserstein Dice Loss in PyTorch☆80Updated 2 years ago
- Implementation of Hausdorff loss function for DNN learning in segmentation tasks.☆66Updated last year
- draw ROC,PR curve and calculate AUC MAP IoU for image semantic segmentation problem☆70Updated 6 years ago
- A PyTorch 1.0 Implementation of Unet with EfficientNet as encoder☆161Updated 4 years ago