OpenMMLab Detection Toolbox and Benchmark
翻译 - OpenMMLab检测工具箱和基准
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
翻译 - 遮罩R-CNN，用于在Keras和TensorFlow上进行对象检测和实例分割
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
翻译 - 这是“Swin Transformer：Hierarchical Vision Transformer using Shifted Windows”的官方实现。
#人脸识别#PaddleDetection为基于飞桨PaddlePaddle的端到端目标检测套件，提供多种主流目标检测、实例分割、跟踪、关键点检测算法，配置化的网络模块组件、数据增强策略、损失函数等，推出多种服务器端和移动端工业级SOTA模型，并集成了模型压缩和跨平台高性能部署能力,帮助开发者更快更好完成端到端全开发流程。
A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.
#计算机科学#[ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling...
#计算机科学#The 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 deal...
翻译 - 医学检测工具包包含常用对象检测器的2D + 3D实现，例如Mask R-CNN，Retina Net，Retina U-Net，以及专注于处理医学图像的训练和推理框架。
#计算机科学#An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come
#计算机科学#🌮 Trash Annotations in Context Dataset Toolkit
This is an official implementation for "Contextual Transformer Networks for Visual Recognition".
翻译 - 这是“用于视觉识别的上下文转换器网络”的官方实现。
RectLabel is an offline image annotation tool for object detection and segmentation.
#人脸识别#small c++ library to quickly deploy models using onnxruntime
Building detection from the SpaceNet dataset by using Mask RCNN.
[ECCV 2020] Boundary-preserving Mask R-CNN
#计算机科学#Usiigaci: stain-free cell tracking in phase contrast microscopy enabled by supervised machine learning
Mask R-CNN for object detection and instance segmentation on Pytorch
ICDAR 2019: MaskRCNN on PubLayNet datasets. Paragraph detection, table detection, figure detection,...
Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h).
#计算机科学#Scalable Instance Segmentation using PyTorch & PyTorch Lightning.
Inspired from Mask R-CNN to build a multi-task learning, two-branch architecture: one branch based on YOLOv2 for object detection, the other branch for instance segmentation. Simply tested on Rice an...