Pytorch Deeplab V3 Plus
deeplab v3+: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Fcos | 3,207 | 5 months ago | 210 | other | Python | |||||
| FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19) | ||||||||||
| Resnest | 3,070 |  | 5 | a year ago | 1,081 | July 07, 2022 | 58 | apache-2.0 | Python | |
| ResNeSt: Split-Attention Networks | ||||||||||
| Detectron.pytorch | 2,695 | 5 years ago | 121 | mit | Python | |||||
| A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available. | ||||||||||
| Pytorch Deeplab Xception | 2,524 | 2 years ago | 119 | mit | Python | |||||
| DeepLab v3+ model in PyTorch. Support different backbones. | ||||||||||
| Pytorch_retinaface | 2,256 | 10 months ago | 141 | mit | Python | |||||
| Retinaface get 80.99% in widerface hard val using mobilenet0.25. | ||||||||||
| Yoloair | 1,714 | a year ago | 30 | gpl-3.0 | Python | |||||
| 🔥🔥🔥YOLOv5, YOLOv6, YOLOv7, YOLOv8, PPYOLOE, YOLOX, YOLOR, YOLOv4, YOLOv3, Transformer, Attention, TOOD and Improved-YOLOv5-YOLOv7... Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀 | ||||||||||
| Res2net Pretrainedmodels | 1,036 | a year ago | 5 | Python | ||||||
| (ImageNet pretrained models) The official pytorch implemention of the TPAMI paper "Res2Net: A New Multi-scale Backbone Architecture" | ||||||||||
| Robustness | 728 | 2 years ago | 3 | October 06, 2018 | 3 | apache-2.0 | Python | |||
| Corruption and Perturbation Robustness (ICLR 2019) | ||||||||||
| Centermask2 | 673 | 2 years ago | 30 | other | Python | |||||
| CenterMask : Real-time Anchor-Free Instance Segmentation, in CVPR 2020 | ||||||||||
| Flexible Yolov5 | 607 | 5 months ago | gpl-3.0 | Python | ||||||
| More readable and flexible yolov5 with more backbone(gcn, resnet, shufflenet, moblienet, efficientnet, hrnet, swin-transformer, etc) and (cbam，dcn and so on), and tensorrt | ||||||||||
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