Yuki-11 / CSSRLinks
Crack Segmentation for Low-Resolution Images using Joint Learning with Super-Resolution (CSSR) was accepted to international conference on MVA2021 (oral), and selected for the Best Practical Paper Award.
☆86Updated last year
Alternatives and similar repositories for CSSR
Users that are interested in CSSR are comparing it to the libraries listed below
Sorting:
- Real-time High-Resolution Neural Network with Semantic Guidance for Crack Segmentation☆64Updated last year
- Official PyTorch implementation of the paper "Joint Learning of Blind Super-Resolution and Crack Segmentation for Realistic Degraded Imag…☆43Updated last year
- This is the repository with the baseline code for the "Small Object Detection Challenge for Spotting Birds" at MVA2023.☆135Updated 2 years ago
- Official code for ICIP 2023 paper "A Convolutional-Transformer Network for Crack Segmentation with Boundary Awareness"☆48Updated last year
- ☆69Updated 4 years ago
- DAUNet: Deep Augmented Neural Network for Pavement Crack Segmentation☆17Updated 2 years ago
- ☆29Updated 4 years ago
- Xin Wu, Danfeng Hong, Jocelyn Chanussot. UIU-Net: U-Net in U-Net for Infrared Small Object Detection, IEEE Trans. Image. Process., 2022, …☆170Updated 2 years ago
- ☆48Updated 4 years ago
- Multiscale Attention Based Efficient U-Net for Crack Segmentation, segments a RGB image into 2 classes crack and non-crack, this method o…☆45Updated 3 years ago
- Local Contrast and Global Contextual Information Make Infrared Small Object Salient Again and A framework for Binary Segmentation Experie…☆34Updated 2 years ago
- A Unet based modified architecture for crack detection☆48Updated 5 years ago
- ☆48Updated 2 years ago
- [ECCV W 2022] "CrackSeg9k: A Collection and Benchmark for Crack Segmentation Datasets and Frameworks" by Shreyas Kulkarni, Shreyas Singh,…☆63Updated last year
- OpenMMLab Semantic Segmentation Toolbox and Benchmark.☆72Updated last year
- DeepCrack: Learning Hierarchical Convolutional Features for Crack Detection☆325Updated 2 years ago
- Boundary-Guided Camouflaged Object Detection☆121Updated 3 years ago
- ☆42Updated 2 years ago
- crack segmentation☆20Updated 3 years ago
- Feature_reconstruction_Network_for_RGB-D_Semantic_Segmentation☆12Updated 2 years ago
- This repo contains customized deep learning models for segmenting cracks.☆51Updated 4 years ago
- ☆50Updated 2 years ago
- ☆23Updated 4 years ago
- CEDNet: A Cascade Encoder-Decoder Network for Dense Prediction (Pattern Recognition 2024)☆134Updated 11 months ago
- A lightweight CNN-based model for medical image segmentation.☆102Updated last year
- ☆29Updated 11 months ago
- ☆121Updated 5 months ago
- This repo is an pytorch implementation of CVPR2019 paper: Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flex…☆33Updated 6 years ago
- Deep Gradient Network for Camouflaged Object Detection (MIR 2023). Our codebase supports PyTorch & Jittor & Huawei-Ascend platforms..☆116Updated 3 months ago
- PyTorch implementation for Semantic Segmentation, include FCN, U-Net, SegNet, GCN, PSPNet, Deeplabv3, Deeplabv3+, Mask R-CNN, DUC, Google…☆56Updated last year