Awesome Open Source
Search
Programming Languages
Languages
All Categories
Categories
About
Search results for coco fpn
coco
x
fpn
x
45 search results found
Yolact
⭐
4,793
A simple, fully convolutional model for real-time instance segmentation.
Deformable Convnets
⭐
3,574
Deformable Convolutional Networks
Fcos
⭐
3,207
FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)
Efficientdet Pytorch
⭐
1,482
A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights
Yolact_edge
⭐
1,138
The first competitive instance segmentation approach that runs on small edge devices at real-time speeds.
Shufflenet Series
⭐
1,056
Cascade Rcnn
⭐
866
Caffe implementation of multiple popular object detection frameworks
Fpn.pytorch
⭐
672
Pytorch implementation of Feature Pyramid Network (FPN) for Object Detection
Freeanchor
⭐
623
FreeAnchor: Learning to Match Anchors for Visual Object Detection (NeurIPS 2019)
Detectorch
⭐
567
Detectorch - detectron for PyTorch
Seg_every_thing
⭐
390
Code release for Hu et al., Learning to Segment Every Thing. in CVPR, 2018.
Ciou
⭐
313
Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression (AAAI 2020)
Vovnet Detectron2
⭐
300
VoVNet backbone networks for detectron2, in CVPR 2020
Rdsnet
⭐
265
implement for paper: "RDSNet: A New Deep Architecture for Reciprocal Object Detection and Instance Segmentation"
Detnas
⭐
220
Nas_fpn_tensorflow
⭐
188
NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection.
Mabn
⭐
181
Coco Minitrain
⭐
162
a subset of coco dataset for faster experimentation
Pytorch Faster Rcnn
⭐
161
pytorch based implementation faster rcnn
Feature_intertwiner
⭐
105
Codebase of the paper "Feature Intertwiner for Object Detection", ICLR 2019
Balancedgroupsoftmax
⭐
90
CVPR 2020 oral paper: Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax.
Bmaskr Cnn
⭐
81
Boundary-preserving Mask R-CNN (ECCV 2020)
Dense Reppoints
⭐
80
Dense reppoints: Representing visual objects with dense point sets https://arxiv.org/abs/1912.11473
Partialresidualnetworks
⭐
74
partial residual networks
Fpn.pytorch1.0
⭐
54
Feature pyramid network (FPN) with online hard example mining (OHEM)
Panoptic Fpn Gluon
⭐
49
Panoptic Feature Pyramid Networks
Ac Fpn
⭐
43
Implement of paper 《Attention-guided Context Feature Pyramid Network for Object Detection》
Cascade_fpn_tensorflow
⭐
30
Cascade R-CNN: Delving into High Quality Object Detection.
Mx Detection
⭐
29
A mxnet object detection library contains implementations of RFCN, FCOS, RetinaNet, OpenPose, etc..
Easy Fpn.pytorch
⭐
28
An easy implementation of FPN (https://arxiv.org/pdf/1612.03144.pdf) in PyTorch.
Motionpathsextraction
⭐
26
Approach to extract motion paths (trajectories) of vehicles and pedestrians from videos (Multiple object detection & tracking)
Pytorch Fpn
⭐
24
Feature Pyramid Networks written by Pytorch
Hnd Ghnd Object Detectors
⭐
23
[ICPR 2020] "Neural Compression and Filtering for Edge-assisted Real-time Object Detection in Challenged Networks" and [ACM MobiCom EMDL 2020] "Split Computing for Complex Object Detectors: Challenges and Preliminary Results"
Hier R Cnn
⭐
18
Hier R-CNN: Instance-level Human Parts Detection and A New Benchmark
Mxnet Detnet
⭐
16
unofficial reproduce of detnet
Pytorch Keypoint Detection
⭐
14
Pytorch FPN+ResNet+MaskRCNN Keypoint Detection
Cascade Rcnn Fpn Faster_rcnn Pytorch1.0
⭐
12
This repo supports Faster R-CNN, FPN and Cascade Faster R-CNN based on pyTorch 1.0. Additionally deformable convolutional layer is also support!
Tf_eager_object_detection
⭐
12
Labelenc
⭐
10
Singapore Maritime Dataset Trained Deep Learning Models
⭐
10
This repository contains the training configurations for several Deep Learning models trained on the Singapore Maritime Dataset and links to the trained - ready to use - models.
Mal
⭐
9
Multiple Anchor Learning for Visual Object Detection (CVPR,2020)
Deformable Convnets
⭐
9
原始仓库Deformable-ConvNets代码注释
Fpn Gluon Cv
⭐
8
Feature Pyramid Network for Object Detection
Yoolact
⭐
7
Tianchidasai
⭐
6
本项目使用的是商汤科技的mmdetection,链接如下https://github.com/ope 一、安装 (1)环境配置 Linux (tested on Ubuntu 16.04 and CentOS 7.2) Python 3.4+ PyTorch 1.0 Cython mmcv >= 0.2.2 (2)安装步骤 #上传的模型为已经安装后的版本,应该不需要再次安装,为保险起见,附上安装过程 先编译 cd code cd mmdetection pip install cython ./compile.sh 后安装 python(3) setup.py install # 或者用句号结尾安装 "pip install ." 二、数据准备 (1)解压数据 运行code目录下zip.py文件,解压的数据存放于data/First_round_data/目录 (2)数据增广 运行code目录下data_augmentation.py,生成增广图集和新的标注.pkl文件,位置
Related Searches
Python Coco (1,239)
Dataset Coco (447)
Pytorch Coco (327)
Coco Voc (310)
Jupyter Notebook Coco (294)
Python Fpn (268)
Object Detection Coco (253)
Tensorflow Coco (215)
Coco Rcnn (170)
C Plus Plus Coco (159)
1-45 of 45 search results
Privacy
|
About
|
Terms
|
Follow Us On Twitter
Copyright 2018-2024 Awesome Open Source. All rights reserved.