brijml / xcaliber-taskLinks
This project was undertaken as a part of evaluation process at Xcaliber Infotech while I was interviewing there
☆13Updated 5 years ago
Alternatives and similar repositories for xcaliber-task
Users that are interested in xcaliber-task are comparing it to the libraries listed below
Sorting:
- CarNet is a fast pavement crack detector which achieves excellent accuracy.☆15Updated last year
- Concrete crack pixel semantic dataset☆9Updated 5 years ago
- crack segmentation☆18Updated 2 years ago
- Road crack detection project based on NestedUnet model☆21Updated 3 years ago
- PyTorch implementation for Semantic Segmentation, include FCN, U-Net, SegNet, GCN, PSPNet, Deeplabv3, Deeplabv3+, Mask R-CNN, DUC, Google…☆55Updated last year
- Multiscale Attention Based Efficient U-Net for Crack Segmentation, segments a RGB image into 2 classes crack and non-crack, this method o…☆41Updated 2 years ago
- A Deep Residual U-Net like architecture for Crack segmentation in concrete structures.☆9Updated 4 years ago
- Python UNET implementation on the problem of concrete crack detection and critical width location☆22Updated 4 years ago
- This repo contains customized deep learning models for segmenting cracks.☆50Updated 3 years ago
- This project contains our three crack detection datasets,i.e., Sun520, Rain365, and BJN260.☆12Updated 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
- ☆42Updated last year
- A Unet based modified architecture for crack detection☆45Updated 4 years ago
- Superpixel-based Graph Convolutional Network for Semantic Segmentation☆37Updated 5 months ago
- The dataset consists of 600 images about pavement cracks taken from roads in Edmonton Canada. They are all annotated at pixel level for c…☆31Updated 5 years ago
- The project uses Unet-based improved networks to study road crack segmentation, which is based on keras.☆43Updated 5 years ago
- [ECCV W 2022] "CrackSeg9k: A Collection and Benchmark for Crack Segmentation Datasets and Frameworks" by Shreyas Kulkarni, Shreyas Singh,…☆58Updated 11 months ago
- TenserFlow Keras☆22Updated 2 years ago
- ☆19Updated 4 years ago
- Official code for ICIP 2023 paper "A Convolutional-Transformer Network for Crack Segmentation with Boundary Awareness"☆41Updated 8 months ago
- An application FCN for crack recogntion using tensorflow☆48Updated 7 years ago
- Due to the irregular shapes,various sizes and indistinguishable boundaries between the normal and infected tissues, it is still a challen…☆16Updated 3 years ago
- DAUNet: Deep Augmented Neural Network for Pavement Crack Segmentation☆17Updated 2 years ago
- ☆59Updated 7 years ago
- Concrete Crack and Spalling Detection using Deep Neural Network☆84Updated 6 years ago
- ☆51Updated 2 years ago
- The Pytorch Implementation of Our Concrete Crack and Spall Detection☆25Updated 5 years ago
- Decoder architecture based on the UNet++. Combining residual bottlenecks with depthwise convolutions and attention mechanisms, it outperf…☆66Updated 3 years ago
- ☆41Updated 10 months ago
- 通过将残差网络作为编码器,改进UNet ( improving the unet by using the resnet as the encoder )☆12Updated 4 years ago