multiclass-semantic-segmentationExperiments with UNET/FPN models and cityscapes/kitti datasets [Pytorch]
Stars: ✭ 96 (+140%)
Mutual labels: cityscapes, cityscapes-dataset
DA-RetinaNetOfficial Detectron2 implementation of DA-RetinaNet of our Image and Vision Computing 2021 work 'An unsupervised domain adaptation scheme for single-stage artwork recognition in cultural sites'
Stars: ✭ 31 (-22.5%)
Mutual labels: cityscapes, cityscapes-dataset
Chainer PspnetPSPNet in Chainer
Stars: ✭ 76 (+90%)
Mutual labels: cityscapes
DecouplesegnetsImplementation of Our ECCV2020-work: Improving Semantic Segmentation via Decoupled Body and Edge Supervision
Stars: ✭ 232 (+480%)
Mutual labels: cityscapes
FchardnetFully Convolutional HarDNet for Segmentation in Pytorch
Stars: ✭ 150 (+275%)
Mutual labels: cityscapes
Deeplab V3 Plus CityscapesmIOU=80.02 on cityscapes. My implementation of deeplabv3+ (also know as 'Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation' based on the dataset of cityscapes).
Stars: ✭ 121 (+202.5%)
Mutual labels: cityscapes
CgnetCGNet: A Light-weight Context Guided Network for Semantic Segmentation [IEEE Transactions on Image Processing 2020]
Stars: ✭ 186 (+365%)
Mutual labels: cityscapes
Switchnorm segmentationSwitchable Normalization for semantic image segmentation and scene parsing.
Stars: ✭ 47 (+17.5%)
Mutual labels: cityscapes
LightnetplusplusLightNet++: Boosted Light-weighted Networks for Real-time Semantic Segmentation
Stars: ✭ 218 (+445%)
Mutual labels: cityscapes
Bisenetv2 TensorflowUnofficial tensorflow implementation of real-time scene image segmentation model "BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation"
Stars: ✭ 139 (+247.5%)
Mutual labels: cityscapes
ContrastivesegExploring Cross-Image Pixel Contrast for Semantic Segmentation
Stars: ✭ 135 (+237.5%)
Mutual labels: cityscapes
Ccnet Pure PytorchCriss-Cross Attention for Semantic Segmentation in pure Pytorch with a faster and more precise implementation.
Stars: ✭ 124 (+210%)
Mutual labels: cityscapes
Fastseg📸 PyTorch implementation of MobileNetV3 for real-time semantic segmentation, with pretrained weights & state-of-the-art performance
Stars: ✭ 202 (+405%)
Mutual labels: cityscapes
DabnetDepth-wise Asymmetric Bottleneck for Real-time Semantic Segmentation (BMVC2019)
Stars: ✭ 109 (+172.5%)
Mutual labels: cityscapes
City Scapes ScriptDownload City Scapes Dataset using this script
Stars: ✭ 57 (+42.5%)
Mutual labels: cityscapes
Robust Detection BenchmarkCode, data and benchmark from the paper "Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming" (NeurIPS 2019 ML4AD)
Stars: ✭ 128 (+220%)
Mutual labels: cityscapes
Hrnet Semantic SegmentationThe OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919
Stars: ✭ 2,369 (+5822.5%)
Mutual labels: cityscapes
MetalCityMetalCity - a procedural night city landscape generator
Stars: ✭ 29 (-27.5%)
Mutual labels: cityscapes
image-segmentationMask R-CNN, FPN, LinkNet, PSPNet and UNet with multiple backbone architectures support readily available
Stars: ✭ 62 (+55%)
Mutual labels: mask-rcnn