Topic: pascal-voc Goto Github
Some thing interesting about pascal-voc
Some thing interesting about pascal-voc
pascal-voc,This easy-to-use library is a data transformer sometimes useful in Object Detection and Segmentation tasks. With only a few lines of code, one can slice images and their bounding box annotations into smaller tiles, both into specific sizes and into any arbitrary number of equal parts. The tool also supports resizing of images and their bounding box annotations, both by specific sizes and by a resizing/scaling factor.
User: acl21
Home Page: https://image-bbox-slicer.readthedocs.io/en/latest/
pascal-voc,Implementation of Weakly Supervised Deep Detection Networks using the latest version of PyTorch
User: adursun
pascal-voc,WIDER FACE annotations converted to the Pascal VOC XML format
User: akofman
pascal-voc,CVNets: A library for training computer vision networks
Organization: apple
Home Page: https://apple.github.io/ml-cvnets
pascal-voc,Semantic Segmentation using Tensorflow on popular Datasets like Ade20k, Camvid, Coco, PascalVoc
User: baudcode
pascal-voc,Code, data and benchmark from the paper "Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming" (NeurIPS 2019 ML4AD)
Organization: bethgelab
Home Page: https://arxiv.org/abs/1907.07484
pascal-voc,mean Average Precision - This code evaluates the performance of your neural net for object recognition.
User: cartucho
pascal-voc,Label images and video for Computer Vision applications
User: cartucho
pascal-voc,SAM Enhance Mask Quality for WSSS: This repository provides tools for generating, evaluating, and visualizing enhanced pseudo masks for Weakly Supervised Semantic Segmentation (WSSS) using the Segment Anything Model (SAM).
User: cskyl
pascal-voc,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
pascal-voc,Focal Loss for Dense Object Detection.
Organization: detectionteamucas
pascal-voc,DeepLab-LargeFOV implemented in tensorflow
User: drsleep
pascal-voc,DeepLab-ResNet rebuilt in TensorFlow
User: drsleep
pascal-voc,Official Detectron2 implementation of DA-RetinaNet of our Image and Vision Computing 2021 work 'An unsupervised domain adaptation scheme for single-stage artwork recognition in cultural sites'
Organization: fpv-iplab
Home Page: https://iplab.dmi.unict.it/EGO-CH-OBJ-UDA/
pascal-voc,Detectron2 implementation of DA-Faster R-CNN, Domain Adaptive Faster R-CNN for Object Detection in the Wild
User: giovannipasq
pascal-voc,PAGCP for the compression of YOLOv5
User: hankye
pascal-voc,[CVPR'22] Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels
User: haochen-wang409
pascal-voc,Tools for converting Label Studio annotations into common dataset formats
Organization: humansignal
Home Page: https://labelstud.io/
pascal-voc,LabelFree
Organization: industryessentials
Home Page: https://industryessentials.github.io/labelfree_doc
pascal-voc,DeepLab resnet v2 model in pytorch
User: isht7
pascal-voc,Tool to evaluate deep-learning detection and segmentation models, and to create datasets
Organization: jderobot
Home Page: https://jderobot.github.io/DetectionMetrics/
pascal-voc,A package to read and convert object detection datasets (COCO, YOLO, PascalVOC, LabelMe, CVAT, OpenImage, ...) and evaluate them with COCO and PascalVOC metrics.
User: laclouis5
pascal-voc,Lacmus is a cross-platform application that helps to find people who are lost in the forest using computer vision and neural networks.
Organization: lacmus-foundation
Home Page: https:/lacmus.ml/
pascal-voc,The implementation of "Bootstrapping Semantic Segmentation with Regional Contrast" [ICLR 2022].
User: lorenmt
Home Page: https://shikun.io/projects/regional-contrast
pascal-voc,PSPNet in Chainer
User: mitmul
pascal-voc,Real-time object detection on Android using the YOLO network with TensorFlow
User: natanielruiz
pascal-voc,To speedup and simplify image labeling/ annotation process with multiple supported formats.
Organization: naturalintelligence
Home Page: https://solothought.com/imglab/
pascal-voc,目标检测 - R-CNN算法实现
Organization: object-detection-algorithm
pascal-voc,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/
pascal-voc,Most popular metrics used to evaluate object detection algorithms.
User: rafaelpadilla
pascal-voc,Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.
User: rafaelpadilla
pascal-voc,DeepLabv3 built in TensorFlow
User: rishizek
pascal-voc,DeepLabv3+ built in TensorFlow
User: rishizek
pascal-voc,We write your reusable computer vision tools. 💜
Organization: roboflow
Home Page: https://supervision.roboflow.com
pascal-voc,This repository contains the source code of our work on designing efficient CNNs for computer vision
User: sacmehta
pascal-voc,PyTorch Implementation of Stacked U-Nets (SUNets)
User: shahsohil
pascal-voc,Free to use online tool for labelling photos. https://makesense.ai
User: skalskip
pascal-voc,Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing (CVPR 2018).
User: speedinghzl
pascal-voc,DeepLab-ResNet rebuilt in Pytorch
User: speedinghzl
pascal-voc,Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch
User: toandaominh1997
pascal-voc,How to create custom COCO data set for object detection
User: tony607
pascal-voc,Convert between visual object detection datasets
Organization: umautobots
pascal-voc,Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes
User: vainf
pascal-voc,Implementation of our Pattern Recognition paper "DMT: Dynamic Mutual Training for Semi-Supervised Learning"
User: voldemortx
pascal-voc,PytorchAutoDrive: Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, RESA, LSTR, LaneATT, BézierLaneNet...) based on PyTorch with fast training, visualization, benchmarking & deployment help
User: voldemortx
pascal-voc,Discovering Object Masks for Unsupervised Semantic Segmentation [2022]
User: wvangansbeke
Home Page: https://arxiv.org/abs/2206.06363
pascal-voc,Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. [ICCV 2021]
User: wvangansbeke
pascal-voc,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/
pascal-voc,An (re-)implementation of DeepLab v2 (ResNet-101) in TensorFlow for semantic image segmentation on the PASCAL VOC 2012 dataset.
User: zhengyang-wang
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