All About The GanAll About the GANs(Generative Adversarial Networks) - Summarized lists for GAN
Stars: ✭ 630 (-2.17%)
Caffe ModelCaffe models (including classification, detection and segmentation) and deploy files for famouse networks
Stars: ✭ 1,258 (+95.34%)
volkscvA Python toolbox for computer vision research and project
Stars: ✭ 58 (-90.99%)
3d PointcloudPapers and Datasets about Point Cloud.
Stars: ✭ 179 (-72.2%)
CvpodsAll-in-one Toolbox for Computer Vision Research.
Stars: ✭ 277 (-56.99%)
PaddlexPaddlePaddle End-to-End Development Toolkit(『飞桨』深度学习全流程开发工具)
Stars: ✭ 3,399 (+427.8%)
FastmaskrcnnMask RCNN in TensorFlow
Stars: ✭ 3,069 (+376.55%)
GfocalGeneralized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection, NeurIPS2020
Stars: ✭ 376 (-41.61%)
Tensorflow object tracking videoObject Tracking in Tensorflow ( Localization Detection Classification ) developed to partecipate to ImageNET VID competition
Stars: ✭ 491 (-23.76%)
SipmaskSipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation (ECCV2020)
Stars: ✭ 255 (-60.4%)
Detectron.pytorchA pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.
Stars: ✭ 2,805 (+335.56%)
FrancNatural language detection
Stars: ✭ 3,605 (+459.78%)
Pvt Stars: ✭ 379 (-41.15%)
AlbumentationsFast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Stars: ✭ 9,353 (+1352.33%)
Point2SequencePoint2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network
Stars: ✭ 34 (-94.72%)
Cnn Paper2🎨 🎨 深度学习 卷积神经网络教程 :图像识别,目标检测,语义分割,实例分割,人脸识别,神经风格转换,GAN等🎨🎨 https://dataxujing.github.io/CNN-paper2/
Stars: ✭ 77 (-88.04%)
NncfPyTorch*-based Neural Network Compression Framework for enhanced OpenVINO™ inference
Stars: ✭ 218 (-66.15%)
Multi Human Parsing🔥🔥Official Repository for Multi-Human-Parsing (MHP)🔥🔥
Stars: ✭ 507 (-21.27%)
Unet SegmentationThe U-Net Segmentation plugin for Fiji (ImageJ)
Stars: ✭ 62 (-90.37%)
TabiBGP Hijack Detection
Stars: ✭ 90 (-86.02%)
Mstar deeplearning projectRadar target classification, detection and recognition using deeplearning methods on MSTAR dataset
Stars: ✭ 163 (-74.69%)
Holy EdgeHolistically-Nested Edge Detection
Stars: ✭ 277 (-56.99%)
Rectlabel SupportRectLabel - An image annotation tool to label images for bounding box object detection and segmentation.
Stars: ✭ 338 (-47.52%)
AslOfficial Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(2020) paper
Stars: ✭ 195 (-69.72%)
OchumanapiAPI for the dataset proposed in "Pose2Seg: Detection Free Human Instance Segmentation" @ CVPR2019.
Stars: ✭ 168 (-73.91%)
BonnetalBonnet and then some! Deep Learning Framework for various Image Recognition Tasks. Photogrammetry and Robotics Lab, University of Bonn
Stars: ✭ 202 (-68.63%)
Awesome Carla 👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla
Stars: ✭ 246 (-61.8%)
MedicaldetectiontoolkitThe Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.
Stars: ✭ 917 (+42.39%)
Pytorchinsighta pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results
Stars: ✭ 713 (+10.71%)
Jacinto Ai DevkitTraining & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models
Stars: ✭ 49 (-92.39%)
Spinenet PytorchThis project is a kind of implementation of SpineNet(CVPR 2020) using mmdetection.
Stars: ✭ 75 (-88.35%)
Kaggle RsnaDeep Learning for Automatic Pneumonia Detection, RSNA challenge
Stars: ✭ 74 (-88.51%)
neural-compressorIntel® Neural Compressor (formerly known as Intel® Low Precision Optimization Tool), targeting to provide unified APIs for network compression technologies, such as low precision quantization, sparsity, pruning, knowledge distillation, across different deep learning frameworks to pursue optimal inference performance.
Stars: ✭ 666 (+3.42%)
SimpsonrecognitionDetect and recognize The Simpsons characters using Keras and Faster R-CNN
Stars: ✭ 131 (-79.66%)
Pytorch Imagenet Cifar Coco Voc TrainingTraining 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.
Stars: ✭ 130 (-79.81%)
crowd density segmentationThe code for preparing the training data for crowd counting / segmentation algorithm.
Stars: ✭ 21 (-96.74%)
rgbd person trackingR-GBD Person Tracking is a ROS framework for detecting and tracking people from a mobile robot.
Stars: ✭ 46 (-92.86%)
Paddle2onnxPaddlePaddle to ONNX model converter
Stars: ✭ 185 (-71.27%)
BCNetDeep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]
Stars: ✭ 434 (-32.61%)
LDLocalization Distillation for Dense Object Detection (CVPR 2022)
Stars: ✭ 271 (-57.92%)
DARTSDifferentiable architecture search for convolutional and recurrent networks
Stars: ✭ 59 (-90.84%)
ShadowlessA Fast and Open Source Autonomous Perception System.
Stars: ✭ 29 (-95.5%)
ImgclsmobSandbox for training deep learning networks
Stars: ✭ 2,405 (+273.45%)
Dstl unetDstl Satellite Imagery Feature Detection
Stars: ✭ 117 (-81.83%)
SinetCamouflaged Object Detection, CVPR 2020 (Oral & Reported by the New Scientist Magazine)
Stars: ✭ 246 (-61.8%)
Skin-Cancer-SegmentationClassification and Segmentation with Mask-RCNN of Skin Cancer using ISIC dataset
Stars: ✭ 61 (-90.53%)