berther's repositories
aerial-depth-completion
Aerial Single-View Depth Completion with Image-Guided Uncertainty Estimation (RA-L/ICRA 2020)
awesome-attention-mechanism-in-cv
:punch: 计算机视觉中用到的注意力模块和其他即插即用模块PyTorch Implementation Collection of Attention Module and Plug&Play Module
Awesome-Deep-Learning-of-Remote-Sensing
Awesome Deep Learning of Remote Sensing
Awesome-Geospatial
Long list of geospatial tools and resources
awesome-satellite-imagery-datasets
🛰️ List of satellite image training datasets with annotations for computer vision and deep learning
awesome-self-supervised-learning
A curated list of awesome self-supervised methods
Awesome-Self-Supervised-Papers
Paper bank for Self-Supervised Learning
awesome-transfer-learning
Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
BEmodule-Satellite-Building-Segmentation
Boundary Enhancement Semantic Segmentation for Building Extraction from Remote Sensed Image
connected-components-3d
Connected components on multilabel 3D & 2D images. Handles 26, 18, and 6 connected variants.
covid-path-planning
Path planning for dormitory irradiation by robot
data-science-competition
该仓库用于记录作者本人参加的各大数据科学竞赛的获奖方案源码以及一些新比赛的原创baseline. 主要涵盖:kaggle, 阿里天池,华为云大赛校园赛,百度aistudio,和鲸社区,datafountain等
DeepClustering
Methods and Implements of Deep Clustering
JLDCF
Code for CVPR-2020 paper "JL-DCF: Joint Learning and Densely-Cooperative Fusion Framework for RGB-D Salient Object Detection"
Multi-task-deep-network
Usage of Multi-task deep learning network for semantic segmentation in medical images
python-img_gist_feature
Implement extracting Gist feature from a image (Matlab LMGist)
pytorch-loss
label-smooth, amsoftmax, focal-loss, triplet-loss, lovasz-softmax. Maybe useful
SASSnet
Shape-aware Semi-supervised 3D Semantic Segmentation for Medical Images
segmentation_shengteng2021
2021“昇腾杯”遥感影像智能处理算法大赛——语义分割赛道,冠军方案
SelfSupervisedAerialDepthEstimator
Code for the paper described in x
SemanticMVS
Semantic 3D Reconstruction with Learning MVS and 2D Segmentation of Aerial Images, Applied Sciences
shape-attentive-unet
Code for our paper SAUNet: Shape Attentive U-Net for Interpretable Medical Image Segmentation. https://arxiv.org/pdf/2001.07645v3.pdf
TrGNN
Traffic Flow Prediction with Vehicle Trajectories