1872 Open source projects that are alternatives of or similar to Cvpods

Papers and Datasets about Point Cloud.

PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）

Collections of model quantization algorithms

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

《深度学习与计算机视觉》配套代码

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

Resurces for MRI images processing and deep learning in 3D

OpenMMLab Model Compression Toolbox and Benchmark.

A Python toolbox for computer vision research and project

3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.

Test Time Augmentation (TTA) wrapper for computer vision tasks: segmentation, classification, super-resolution, ... etc.

Keras implementation for Pointnet

Holistically-Nested Edge Detection

Deep Learning for Automatic Pneumonia Detection, RSNA challenge

Tensorflow implementation : U-net and FCN with global convolution

NLP research：基于tensorflow的nlp深度学习项目，支持文本分类/句子匹配/序列标注/文本生成 四大任务

LUNA16-Lung-Nodule-Analysis-2016-Challenge

PyTorch Implementation of Stacked U-Nets (SUNets)

Radar target classification, detection and recognition using deeplearning methods on MSTAR dataset

Training examples and results for ImageNet(ILSVRC2012)/CIFAR100/COCO2017/VOC2007+VOC2012 datasets.Image Classification/Object Detection.Include ResNet/EfficientNet/VovNet/DarkNet/RegNet/RetinaNet/FCOS/CenterNet/YOLOv3.

A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)

deep learning for image processing including classification and object-detection etc.

Sandbox for training deep learning networks

A Python package for automatic earthquake detection and location using waveform migration and stacking.

Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]

A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

Generalized Data-free Universal Adversarial Perturbations

a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results

Variants of Vision Transformer and its downstream tasks

Crop/Weed Field Image Dataset

BGP Hijack Detection

The code for preparing the training data for crowd counting / segmentation algorithm.

Classification and Segmentation with Mask-RCNN of Skin Cancer using ISIC dataset

Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network

Collection of computer vision models, ready to be included in a JVM project

Grid-GCN for Fast and Scalable Point Cloud Learning

Detect and recognize The Simpsons characters using Keras and Faster R-CNN

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling （CVPR 2020）

Object Tracking in Tensorflow ( Localization Detection Classification ) developed to partecipate to ImageNET VID competition

ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics

A Fast and Open Source Autonomous Perception System.

Bonnet and then some! Deep Learning Framework for various Image Recognition Tasks. Photogrammetry and Robotics Lab, University of Bonn

MIT-Princeton Vision Toolbox for the Amazon Picking Challenge 2016 - RGB-D ConvNet-based object segmentation and 6D object pose estimation.

3D image classification using CNN (Convolutional Neural Network)

基于Tensorflow2开发的优秀扩展包及项目

R-GBD Person Tracking is a ROS framework for detecting and tracking people from a mobile robot.

Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(2020) paper

Detect whether a person is wearing a mask or not

PAPC is a deep learning for point clouds platform based on pure PaddlePaddle

Code for https://unsupervised-llamas.com

An open-source semi-automated processing chain for urban OBIA classification.

This is an official implementation of our NeurIPS 2021 paper "HRFormer: High-Resolution Transformer for Dense Prediction".

Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection, NeurIPS2020

Image Test Time Augmentation with PyTorch!

PaddlePaddle to ONNX model converter

SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation (ECCV2020)

Exploiting Saliency for Object Segmentation from Image Level Labels, CVPR'17

Mask RCNN in TensorFlow