LightnetLightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)
Stars: ✭ 698 (+220.18%)
Mutual labels: semantic-segmentation, mobilenetv2, cityscapes
Pytorch Auto DriveSegmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, SAD, PRNet, RESA, LSTR...) based on PyTorch 1.6 with mixed precision training
Stars: ✭ 32 (-85.32%)
Mutual labels: apex, semantic-segmentation, cityscapes
LightNetLightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)
Stars: ✭ 710 (+225.69%)
Mutual labels: semantic-segmentation, cityscapes, mobilenetv2
Efficient Segmentation NetworksLightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)
Stars: ✭ 579 (+165.6%)
Mutual labels: semantic-segmentation, cityscapes
Fasterseg[ICLR 2020] "FasterSeg: Searching for Faster Real-time Semantic Segmentation" by Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang
Stars: ✭ 438 (+100.92%)
Mutual labels: semantic-segmentation, cityscapes
Tusimple DucUnderstanding Convolution for Semantic Segmentation
Stars: ✭ 567 (+160.09%)
Mutual labels: semantic-segmentation, cityscapes
Deeplabv3plus PytorchDeepLabv3, DeepLabv3+ and pretrained weights on VOC & Cityscapes
Stars: ✭ 337 (+54.59%)
Mutual labels: mobilenetv2, cityscapes
Fastseg📸 PyTorch implementation of MobileNetV3 for real-time semantic segmentation, with pretrained weights & state-of-the-art performance
Stars: ✭ 202 (-7.34%)
Mutual labels: semantic-segmentation, cityscapes
Deeplabv3 PlusTensorflow 2.3.0 implementation of DeepLabV3-Plus
Stars: ✭ 32 (-85.32%)
Mutual labels: semantic-segmentation, cityscapes
Chainer PspnetPSPNet in Chainer
Stars: ✭ 76 (-65.14%)
Mutual labels: semantic-segmentation, cityscapes
ContrastivesegExploring Cross-Image Pixel Contrast for Semantic Segmentation
Stars: ✭ 135 (-38.07%)
Mutual labels: semantic-segmentation, cityscapes
Seg UncertaintyIJCAI2020 & IJCV 2020 🌇 Unsupervised Scene Adaptation with Memory Regularization in vivo
Stars: ✭ 202 (-7.34%)
Mutual labels: semantic-segmentation, cityscapes
Icnet TensorflowTensorFlow-based implementation of "ICNet for Real-Time Semantic Segmentation on High-Resolution Images".
Stars: ✭ 396 (+81.65%)
Mutual labels: semantic-segmentation, cityscapes
Panoptic DeeplabThis is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)
Stars: ✭ 355 (+62.84%)
Mutual labels: semantic-segmentation, cityscapes
Nas Segm PytorchCode for Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells, CVPR '19
Stars: ✭ 126 (-42.2%)
Mutual labels: semantic-segmentation, 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 (-36.24%)
Mutual labels: semantic-segmentation, 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 (+986.7%)
Mutual labels: semantic-segmentation, cityscapes
EdgenetsThis repository contains the source code of our work on designing efficient CNNs for computer vision
Stars: ✭ 331 (+51.83%)
Mutual labels: semantic-segmentation, cityscapes
AdemxappCode for https://arxiv.org/abs/1611.10080
Stars: ✭ 333 (+52.75%)
Mutual labels: semantic-segmentation, cityscapes
DabnetDepth-wise Asymmetric Bottleneck for Real-time Semantic Segmentation (BMVC2019)
Stars: ✭ 109 (-50%)
Mutual labels: semantic-segmentation, cityscapes