xtao's repositories
da-faster-rcnn
An implementation of our CVPR 2018 work 'Domain Adaptive Faster R-CNN for Object Detection in the Wild'
DA_Detection
Implementation of "Strong-Weak Distribution Alignment for Adaptive Object Detection"
PytorchSSD
pytorch version of SSD and it's enhanced methods such as RFBSSD,FSSD and RefineDet.
awesome-semantic-segmentation-pytorch
Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
Distance-IoU-Loss-Faster-and-Better-Learning-for-Bounding-Box-Regression
Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression
Domain-Adaptive-Faster-RCNN-PyTorch
Domain Adaptive Faster R-CNN in PyTorch
faster-rcnn.pytorch
A faster pytorch implementation of faster r-cnn
Hi3559AV100_SDK_V2.0.2.0
Sample of Hi3559AV100_SDK_V2.0.2.0
Knowledge-Distillation-Zoo
Pytorch implementation of various Knowledge Distillation (KD) methods.
pytorch-retinanet
Pytorch implementation of RetinaNet object detection.
SSD-ResNet-PyTorch
An SSD implementation using PyTorch and a ResNet backbone.
SSD.TensorFlow
State-of-the-art Single Shot MultiBox Detector in Pure TensorFlow, QQ Group: 758790869
Taotaoxu.github.io
my website.
task-distillation
Code for Domain Adaptation Through Task Distillation (ECCV 20)
TDRN
A Dual Refinement Mechanism for Real-World Visual Detection
tensorflow-plot
📈 TensorFlow + Matplotlib as TF ops
torchdistill
A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆20 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.