yinguobing / modelsLinks
A playground for friendly deep neural network models.
☆9Updated 4 years ago
Alternatives and similar repositories for models
Users that are interested in models are comparing it to the libraries listed below
Sorting:
- An simple and effective segmentation framework☆50Updated 2 years ago
- The TRA (TangRui Annotation) method of arbitrary-oriented bounding box☆20Updated 4 years ago
- Hybrid_Task_Cascade in mmdetection☆20Updated 6 years ago
- ☆20Updated 4 years ago
- HRNet 的Tensorflow实现☆34Updated 6 years ago
- building segmentation dataset☆22Updated 4 years ago
- YOLOv3 detector with quadrangle in PyTorch☆89Updated 5 years ago
- ACCV Fine-grained recognition code☆59Updated 3 years ago
- Some Useful Tools for Object Detection in Remote Sensing Imagery. 一些遥感图像目标检测的实用代码及工具,不断更新中...☆35Updated 4 years ago
- 45.1% mAP, Keras impl of PPYOLO and YOLOv4.☆28Updated 4 years ago
- 遥感图像稀疏表征与智能分析竞赛之语义分割☆19Updated 5 years ago
- Official implementation of Learning Point-guided Localization for Detection in Remote Sensing Images☆28Updated 3 years ago
- rscup2019,分类赛道☆32Updated 5 years ago
- the 8-para version of RSDet which regress from the 4 points of the anchors☆24Updated 4 years ago
- YOLOX in DOTA with KLD loss. (Oriented Object Detection)(Rotated BBox)基于YOLOX的旋转目标检测☆77Updated 3 years ago
- my_custom_mmdetection☆58Updated 4 years ago
- ☆150Updated last year
- ☆19Updated 4 years ago
- ☆18Updated 2 years ago
- 遥感模型及数据加载集仓库 『Remote sensing models and dataloader warehouse』☆14Updated 3 years ago
- ☆52Updated 4 years ago
- 自然场景检测DBNet网络的tensorrt版本☆22Updated 4 years ago
- Draw ROC curve and PR curve for object detection tasks, such as face detection.☆62Updated 6 years ago
- Implementation of augmentation for small object detection(填鸭) https://arxiv.org/pdf/1902.07296.pdf☆19Updated this week
- 旋转框检测的推理与计算☆23Updated 2 years ago
- A Strong Baseline for Image Semantic Segmentation☆55Updated 3 years ago
- joooogle / Automatic-labeling-of-instance-segmentation-Mask-Rcnn-in-static-background-base-on-labelme静态背景下实例分割数据集自动标注工具,基于Labelme改进。 可以自动生成labelme格式的json文件。(注意:本程序只适用于大量图片基于静态背景)原理是:背景减除后得到高质量的二值图,计算连通域外轮廓坐标,再将信息写入json文件。☆13Updated 6 years ago
- Scene classification baseline. Test Acc:90.14%☆16Updated 5 years ago
- Instance Segmentation, TensorMask☆51Updated 5 years ago
- Top-1 Solution for CCF BDCI Seg☆72Updated 4 years ago