Biotan

Pinned Repositories

3DCFS
3DCFS: Fast and Robust Joint 3D Semantic-Instance Segmentation via Coupled Feature Selection
Language:Python7 2 22
ASIS
Associatively Segmenting Instances and Semantics in Point Clouds
Language:Python0 1 00
CausalInferenceIntro
Causal Inference for the Brave and True的中文翻译版。全部代码基于Python，适用于计量经济学、量化社会学、策略评估等领域。英文版原作者：Matheus Facure
Language:Jupyter Notebook00
faster-rcnn.pytorch
A faster pytorch implementation of faster r-cnn
Language:Python10
FCHD-Fully-Convolutional-Head-Detector
Code for FCHD - A fast and accurate head detector
Language:Python1 1 00
HCFS3D
Language:Python11
ICNet-pytorch
ICNet implemented by pytorch, for real-time semantic segmentation on high-resolution images, mIOU=71.0 on cityscapes, single inference time is 19ms, FPS is 52.6.
Language:Python00
ROSMRF
ROSMRF: Real-time Online 3D Semantic segmentation for mobile scene via Multi-modal Representation and Fusion
Language:C++3 2 01
SASO
SASO: Joint 3D Semantic-Instance Segmentation via Multi-scale Semantic Association and Salient Point Clustering Optimization
30
SSF-DAN
Language:Python5 2 40

Biotan's Repositories

Biotan/3DCFS
3DCFS: Fast and Robust Joint 3D Semantic-Instance Segmentation via Coupled Feature Selection
Language:Python7 2 22
Biotan/SSF-DAN
Language:Python5 2 40
Biotan/ROSMRF
ROSMRF: Real-time Online 3D Semantic segmentation for mobile scene via Multi-modal Representation and Fusion
Language:C++3 2 01
Biotan/SASO
SASO: Joint 3D Semantic-Instance Segmentation via Multi-scale Semantic Association and Salient Point Clustering Optimization
30
Biotan/faster-rcnn.pytorch
A faster pytorch implementation of faster r-cnn
Language:Python10
Biotan/FCHD-Fully-Convolutional-Head-Detector
Code for FCHD - A fast and accurate head detector
Language:Python1 1 00
Biotan/HCFS3D
Language:Python11
Biotan/ASIS
Associatively Segmenting Instances and Semantics in Point Clouds
Language:Python0 1 00
Biotan/CausalInferenceIntro
Causal Inference for the Brave and True的中文翻译版。全部代码基于Python，适用于计量经济学、量化社会学、策略评估等领域。英文版原作者：Matheus Facure
Language:Jupyter Notebook00
Biotan/ICNet-pytorch
ICNet implemented by pytorch, for real-time semantic segmentation on high-resolution images, mIOU=71.0 on cityscapes, single inference time is 19ms, FPS is 52.6.
Language:Python00
Biotan/learning_git
一步步学习git的相关操作及多人协作开发
Biotan/maskrcnn-benchmark
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
Language:Python
Biotan/OMCNN_2CLSTM
The model of "DeepVS: A Deep Learning Based Video Saliency Prediction Approach" (ECCV2018
Language:Python
Biotan/PaddleHub
Toolkit for Pre-trained Model Application of PaddlePaddle（『飞桨』预训练模型应用工具）
Biotan/RandLA-Net
🔥RandLA-Net in Tensorflow (CVPR 2020, Oral)
Biotan/saliency_metrics
Language:Python
Biotan/test_git
Language:Python1
Biotan/torch-points3d
Pytorch framework for doing deep learning on point clouds.
Biotan/yolact
A simple, fully convolutional model for real-time instance segmentation.