Pinned Repositories
AdelaiDet
AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
awesome-detectron2
A collection of projects build with detectron2
awesome-lane-detection
A paper list of lane detection.
awesome-object-detection
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
FCOS_PLUS
Some improvements about FCOS (FCOS: Fully Convolutional One-Stage Object Detection).
maskrcnn-benchmark
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
mmdetection
Open MMLab Detection Toolbox and Benchmark
prostate-segmentation
医学图像中的前列腺分割研究
tpu
Reference models and tools for Cloud TPUs.
SkeletonOne's Repositories
SkeletonOne/awesome-detectron2
A collection of projects build with detectron2
SkeletonOne/prostate-segmentation
医学图像中的前列腺分割研究
SkeletonOne/FCOS_PLUS
Some improvements about FCOS (FCOS: Fully Convolutional One-Stage Object Detection).
SkeletonOne/maskrcnn-benchmark
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
SkeletonOne/mmdetection
Open MMLab Detection Toolbox and Benchmark
SkeletonOne/tpu
Reference models and tools for Cloud TPUs.
SkeletonOne/AdelaiDet
AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
SkeletonOne/awesome-lane-detection
A paper list of lane detection.
SkeletonOne/awesome-object-detection
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
SkeletonOne/Awesome-Pruning
A curated list of neural network pruning resources.
SkeletonOne/awesome-source-free-test-time-adaptation
[2022] A curated list of papers in Test-time Adaptation, Test-time Training and Source-free Domain Adaptation
SkeletonOne/Brain-Tumor-Segmentation
Brain Tumor Segmentation done using U-Net Architecture.
SkeletonOne/computervision-recipes
Best Practices, code samples, and documentation for Computer Vision.
SkeletonOne/DA_Detection_Material
A Collection of Domain Adaptation for Object Detection Material
SkeletonOne/detectron2
Detectron2 is FAIR's next-generation research platform for object detection and segmentation.
SkeletonOne/detectron2_backbone
detectron2 backbone: resnet18, efficientnet, hrnet, mobilenet v2, resnest, bifpn
SkeletonOne/EagleEye
(ECCV'2020 Oral)EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning
SkeletonOne/EveryPixelMatters
Implementation of ECCV 2020 paper "Every Pixel Matters: Center-aware Feature Alignment for Domain Adaptive Object Detector"
SkeletonOne/Knowledge_Distillation_Pytorch
SkeletonOne/nn_pruning
Prune a model while finetuning or training.
SkeletonOne/pytorch-cifar
95.16% on CIFAR10 with PyTorch
SkeletonOne/pytorch-OpCounter
Count the MACs / FLOPs of your PyTorch model.
SkeletonOne/Segmentation.X
Papers and Benchmarks about semantic segmentation, instance segmentation, panoptic segmentation and video segmentation
SkeletonOne/SkeletonOne
SkeletonOne/trim-model-for-maskrcnn-benchmark-finetune
Trim pre-trained model for finetuning on custom dataset based on maskrcnn-benchmark (.pth format)
SkeletonOne/Unet-Segmentation-Pytorch-Nest-of-Unets
Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet