berther

3D-ResNets-PyTorch

3D ResNets for Action Recognition (CVPR 2018)

3d-semantic-segmentation

This work is based on our paper Exploring Spatial Context for 3D Semantic Segmentation of Point Clouds, which is appeared at the IEEE International Conference on Computer Vision (ICCV) 2017, 3DRMS Workshop.

3D_Reconstruction_From_Stereo_Images

3DBBOX-pytorch

Aerial-Template-Matching

This project focuses on development of an algorithm for Template Matching on aerial images by implementing classical Computer Vision based techniques and deep-learning based techniques.

Awesome-Meta-Learning

A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.

crack_segmentation

This repository contains code and dataset for the task crack segmentation using two architectures UNet_VGG16, UNet_Resnet and DenseNet-Tiramusu

Pointer-based-segmentation-find-segment-containing-given-image-point-witin-given-ROI-mask-using-CNN

Category independent sequential image segmentation. Find a segment containing a given image pixel within a given attention mask using a convolutional neural network (CNN), and its application for sequential region-by-region instance-aware segmentation of images with unfamiliar categories.

RemoteSensingMatching-DeepMatching

Two remote sensing image matching of different sizes based on deep convolution matching algorithm（Deep Matching）

SegStereo

SegStereo: Exploiting Semantic Information for Disparity Estimation

berther/aerial-depth-completion

Aerial Single-View Depth Completion with Image-Guided Uncertainty Estimation (RA-L/ICRA 2020)

berther/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

berther/Awesome-Deep-Learning-of-Remote-Sensing

Awesome Deep Learning of Remote Sensing

berther/Awesome-Geospatial

Long list of geospatial tools and resources

berther/awesome-satellite-imagery-datasets

🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

berther/Awesome-Self-Supervised-Papers

Paper bank for Self-Supervised Learning

berther/awesome-transfer-learning

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

berther/BEmodule-Satellite-Building-Segmentation

Boundary Enhancement Semantic Segmentation for Building Extraction from Remote Sensed Image

berther/connected-components-3d

Connected components on multilabel 3D & 2D images. Handles 26, 18, and 6 connected variants.

berther/covid-path-planning

Path planning for dormitory irradiation by robot

berther/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

berther/DeepClustering

Methods and Implements of Deep Clustering

berther/DRIT

Learning diverse image-to-image translation from unpaired data

berther/examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

berther/Geographical-Knowledge-driven-Representaion-Learning

berther/HiSup

berther/JLDCF

Code for CVPR-2020 paper "JL-DCF: Joint Learning and Densely-Cooperative Fusion Framework for RGB-D Salient Object Detection"

berther/longscroll-qt

Library to create really long scrollable widgets in Qt. Tested with millions of images.

berther/Multi-task-deep-network

Usage of Multi-task deep learning network for semantic segmentation in medical images

berther/MVDet

Codes and MultiviewX dataset for ECCV 2020 paper: Multiview Detection with Feature Perspective Transformation

berther/pyImSegm

Image segmentation - general superpixel segmentation & center detection & region growing

berther/python-img_gist_feature

Implement extracting Gist feature from a image (Matlab LMGist)

berther/pytorch-loss

label-smooth, amsoftmax, focal-loss, triplet-loss, lovasz-softmax. Maybe useful

berther/SASSnet

Shape-aware Semi-supervised 3D Semantic Segmentation for Medical Images

berther/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

berther/SelfSupervisedAerialDepthEstimator

Code for the paper described in x

berther/SemanticMVS

Semantic 3D Reconstruction with Learning MVS and 2D Segmentation of Aerial Images, Applied Sciences

berther/shape-attentive-unet

Code for our paper SAUNet: Shape Attentive U-Net for Interpretable Medical Image Segmentation. https://arxiv.org/pdf/2001.07645v3.pdf

berther/SiamKPN

Siamese Keypoint Prediction Network for Visual Object Tracking

berther/TrGNN

Traffic Flow Prediction with Vehicle Trajectories