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Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Created
2019-03-01
343 commits to main branch, last one 20 hours ago
DeepLab v3+ model in PyTorch. Support different backbones.
Created
2018-06-15
63 commits to master branch, last one 4 years ago
Support PointRend, Fast_SCNN, HRNet, Deeplabv3_plus(xception, resnet, mobilenet), ContextNet, FPENet, DABNet, EdaNet, ENet, Espnetv2, RefineNet, UNet, DANet, HRNet, DFANet, HardNet, LedNet, OCNet, Enc...
Created
2019-10-20
56 commits to master branch, last one 4 years ago
[CVPR2020] f-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation https://arxiv.org/abs/2001.10331
Created
2020-01-27
33 commits to master branch, last one about a year ago
DeepLabV3+ implemented in TensorFlow2.0
Created
2019-01-21
49 commits to master branch, last one 3 years ago
semantic segmentation pytorch 语义分割
Created
2018-06-11
113 commits to master branch, last one 3 years ago
Real-time semantic image segmentation on mobile devices
Created
2018-11-12
151 commits to master branch, last one 5 years ago
TransDeepLab: Convolution-Free Transformer-based DeepLab v3+ for Medical Image Segmentation
Created
2022-07-13
20 commits to main branch, last one about a year ago
Using deepLabv3+ to segment humans
Created
2019-06-21
14 commits to master branch, last one 3 years ago
DeepLabV3+ with squeeze and excitation network for human image segmentation in TensorFlow 2.5.0
Created
2021-07-07
21 commits to main branch, last one 3 years ago
Base on tensorrt version 8.2.4, compare inference speed for different tensorrt api.
Created
2023-05-20
31 commits to main branch, last one about a month ago