Topic: coco Goto Github
Some thing interesting about coco
Some thing interesting about coco
coco,Simple tool to split COCO annotations into train/test datasets.
User: akarazniewicz
coco,This is an official implementation of our AAAI2022 paper AdaptivePose and Arxiv paper AdaptivePose++
User: buptxyb666
coco,Visual Question Answering in Pytorch
User: cadene
coco,Mask RCNN in TensorFlow
User: charlesshang
coco,A PyTorch implementation of Spiking-YOLOv3. Two branches are provided, based on two common PyTorch implementation of YOLOv3(ultralytics/yolov3 & eriklindernoren/PyTorch-YOLOv3), with support for Spiking-YOLOv3-Tiny at present.
User: cwq159
coco,NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection.
Organization: detectionteamucas
Home Page: https://arxiv.org/abs/1904.07392
coco,Tensorflow Faster RCNN for Object Detection
User: endernewton
Home Page: https://arxiv.org/pdf/1702.02138.pdf
coco,Packaged version of ultralytics/yolov5 + many extra features
User: fcakyon
Home Page: https://pypi.org/project/yolov5/
coco,a subset of coco dataset for faster experimentation
User: giddyyupp
coco,Tools for converting Label Studio annotations into common dataset formats
Organization: humansignal
Home Page: https://labelstud.io/
coco,Official Codes for "Uniform Masking: Enabling MAE Pre-training for Pyramid-based Vision Transformers with Locality"
User: implus
coco,:pencil2: Web-based image segmentation tool for object detection, localization, and keypoints
User: jsbroks
coco,PyTorch re-implementation of DeepLab v2 on COCO-Stuff / PASCAL VOC datasets
User: kazuto1011
coco,Converting COCO annotation (CVAT) to annotation for YOLOv8-seg (instance segmentation) and YOLOv8-obb (oriented bounding box detection)
User: koldim2001
coco,Keras beit,caformer,CMT,CoAtNet,convnext,davit,dino,efficientdet,edgenext,efficientformer,efficientnet,eva,fasternet,fastervit,fastvit,flexivit,gcvit,ghostnet,gpvit,hornet,hiera,iformer,inceptionnext,lcnet,levit,maxvit,mobilevit,moganet,nat,nfnets,pvt,swin,tinynet,tinyvit,uniformer,volo,vanillanet,yolor,yolov7,yolov8,yolox,gpt2,llama2, alias kecam
User: leondgarse
coco,Support PointRend, Fast_SCNN, HRNet, Deeplabv3_plus(xception, resnet, mobilenet), ContextNet, FPENet, DABNet, EdaNet, ENet, Espnetv2, RefineNet, UNet, DANet, HRNet, DFANet, HardNet, LedNet, OCNet, EncNet, DuNet, CGNet, CCNet, BiSeNet, PSPNet, ICNet, FCN, deeplab)
User: likely-journey
coco,(CVPR 2021) Code for our method RePRI for Few-Shot Segmentation. Paper at http://arxiv.org/abs/2012.06166
User: mboudiaf
coco,The official implementation of [CVPR2022] Decoupled Knowledge Distillation https://arxiv.org/abs/2203.08679 and [ICCV2023] DOT: A Distillation-Oriented Trainer https://openaccess.thecvf.com/content/ICCV2023/papers/Zhao_DOT_A_Distillation-Oriented_Trainer_ICCV_2023_paper.pdf
Organization: megvii-research
coco,various cv tools, such as label tools, data augmentation, label conversion, etc.
User: ming71
coco,Implementation of various human pose estimation models in pytorch on multiple datasets (MPII & COCO) along with pretrained models
User: naman-ntc
coco,To speedup and simplify image labeling/ annotation process with multiple supported formats.
Organization: naturalintelligence
Home Page: https://solothought.com/imglab/
coco,The official homepage of the (outdated) COCO-Stuff 10K dataset.
User: nightrome
Home Page: https://arxiv.org/abs/1612.03716
coco,Official PyTorch implementation of Fully Attentional Networks
Organization: nvlabs
Home Page: https://arxiv.org/abs/2204.12451
coco,[ICLR 2024] Official PyTorch implementation of FasterViT: Fast Vision Transformers with Hierarchical Attention
Organization: nvlabs
Home Page: https://arxiv.org/abs/2306.06189
coco,[ICML 2023] Official PyTorch implementation of Global Context Vision Transformers
Organization: nvlabs
Home Page: https://arxiv.org/abs/2206.09959
coco,Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
Organization: obss
Home Page: https://ieeexplore.ieee.org/document/9897990
coco,Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.
Organization: openvinotoolkit
Home Page: https://openvinotoolkit.github.io/datumaro/
coco,Computer vision based ML training data generation tool :rocket:
User: ovidijusparsiunas
Home Page: https://myvision.ai
coco,person detect based on yolov3 with several Python scripts
User: pascal1129
coco,Python library for computer vision labeling tasks. The core functionality is to translate bounding box annotations between different formats-for example, from coco to yolo.
Organization: pylabel-project
coco,🔄 A tool for object detection and image segmentation dataset format conversion.
Organization: rapidai
Home Page: https://rapidai.github.io/LabelConvert/docs
coco,We write your reusable computer vision tools. 💜
Organization: roboflow
Home Page: https://supervision.roboflow.com
coco,Deep Learning Summer School + Tensorflow + OpenCV cascade training + YOLO + COCO + CycleGAN + AWS EC2 Setup + AWS IoT Project + AWS SageMaker + AWS API Gateway + Raspberry Pi3 Ubuntu Core
User: rubenszimbres
coco,OneFormer: One Transformer to Rule Universal Image Segmentation, arxiv 2022 / CVPR 2023
Organization: shi-labs
Home Page: https://praeclarumjj3.github.io/oneformer
coco,Yolo to COCO annotation format converter
User: taeyoung96
coco,FoveaBox: Beyond Anchor-based Object Detector
User: taokong
Home Page: https://arxiv.org/abs/1904.03797
coco,Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch
User: toandaominh1997
coco,Minimalistic COCO Dataset Viewer in Tkinter
User: trsvchn
coco,Convert JSON annotations into YOLO format.
Organization: ultralytics
Home Page: https://docs.ultralytics.com
coco,Helper functions to create COCO datasets
User: waspinator
coco,A framework for training segmentation models in pytorch on labelme annotations with pretrained examples of skin, cat, and pizza topping segmentation
User: willbrennan
coco,Object detection on multiple datasets with an automatically learned unified label space.
User: xingyizhou
coco,A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆25 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.
User: yoshitomo-matsubara
Home Page: https://yoshitomo-matsubara.net/torchdistill/
coco,Image Captions Generation with Spatial and Channel-wise Attention
User: zjuchenlong
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