Kentaro Yoshioka
Kentaro Yoshioka
efficientdet.pytorch
:neckbeard:Unofficial implementation of EfficientDet
apple-lidar-stream
Stream Apple LiDAR (iPad/iPhone) data with open3d
benchmark-FP32-FP16-INT8-with-TensorRT
Benchmark inference speed of CNNs with various quantization methods in Pytorch+TensorRT with Jetson Nano/Xavier
BlazeFace_Person.pytorch
Unofficial Pytorch implementation of :fire:BlazeFace:fire:
DatasetCulling
:scissors: Dataset Culling: Faster training of domain specific models with distillation :scissors: (IEEE ICIP 2019)
Deep-Compression.Pytorch
Unofficial Pytorch implementation of Deep Compression in CIFAR10
frcnn-from-scratch-with-keras
:collision:Faster R-CNN from scratch written with Keras
Kaggle-PANDA-1st-place-solution
1st place solution for the Kaggle PANDA Challenge
MetricLearning-mnist-pytorch
Playground of Metric Learning with MNIST @pytorch. We provide ArcFace, CosFace, SphereFace, CircleLoss and visualization.
ODA-Object-Detection-ttA
ODA is a test-time-augmentation(TTA) tool for 2D object detectors. For use in Kaggle competitions.