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giou loss pytorch github

Zzh-tju/DIoU-SSD-pytorch: Distance-IoU Loss into SSD - GitHub
https://github.com › Zzh-tju › DIo...
Losses can be chosen with the losstype option in the config/config.py file The valid options are currently: [Iou|Giou|Diou|Ciou|SmoothL1] .
add GN and GIoU loss for retinanet #4932 - pytorch/vision
https://github.com › vision › issues
The feature support GroupNorm on retianet head; support GIoU loss for regression loss; Motivation, pitch As we know, retinanet should get better mAP if ...
generalized-iou/Detectron.pytorch - GitHub
https://github.com › generalized-iou
Faster/Mask R-CNN with GIoU loss implemented in PyTorch. If you use this work, please consider citing: @article{Rezatofighi_2018_CVPR, author = {Rezatofighi ...
GIoU · GitHub
github.com › generalized-iou
g-darknet Public. darknet with GIoU. Jupyter Notebook 305 64 1 3 Updated on Oct 12, 2021. Detectron.pytorch Public. Python 122 MIT 16 3 0 Updated on May 23, 2019. g-tensorflow-models Public. tensorflow/models with GIoU. Python 76 Apache-2.0 19 4 0 Updated on Apr 2, 2019. View all repositories.
pytorch-loss/generalized_iou_loss.py at master ...
https://github.com/CoinCheung/pytorch-loss/blob/master/pytorch_loss/...
label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful - pytorch-loss/generalized_iou_loss.py at master · CoinCheung/pytorch-loss
wuyaoxuehun/pytorch-loss repositories - Hi,Github
www.higithub.com › wuyaoxuehun › repo
pytorch-loss. My implementation of label-smooth, amsoftmax, focal-loss, dual-focal-loss, triplet-loss, giou-loss, affinity-loss, pc_softmax_cross_entropy, ohem-loss(softmax based on line hard mining loss), large-margin-softmax(bmvc2019), lovasz-softmax-loss, and dice-loss(both generalized soft dice loss and batch soft dice loss).
generalized-iou/Detectron.pytorch - GitHub
https://github.com/generalized-iou/Detectron.pytorch
17.05.2019 · Please take a look at compute_iou function of lib/utils/net.py for our GIoU and IoU loss implementation in PyTorch.. Normalizers. We also implement a normalizer of bounding box refinement losses. This can be specified with the MODEL.LOSS_BBOX_WEIGHT and MODEL.RPN_LOSS_BBOX_WEIGHT parameters in the configuration file. The default value …
GitHub - miaoshuyu/object-detection-usages: The brief ...
github.com › miaoshuyu › object-detection-usages
May 24, 2021 · - GitHub - miaoshuyu/object-detection-usages: The brief implementation and using examples of object detection usages like, IoU, NMS, soft-NMS, SmoothL1、IoU loss、GIoU loss、 DIoU loss、CIoU loss, cross-entropy、focal-loss、GHM, AP/MAP and so on by Pytorch.
GitHub - CoinCheung/pytorch-loss: label-smooth, amsoftmax ...
github.com › CoinCheung › pytorch-loss
pytorch-loss. My implementation of label-smooth, amsoftmax, partial-fc, focal-loss, dual-focal-loss, triplet-loss, giou-loss, affinity-loss, pc_softmax_cross_entropy, ohem-loss(softmax based on line hard mining loss), large-margin-softmax(bmvc2019), lovasz-softmax-loss, and dice-loss(both generalized soft dice loss and batch soft dice loss).
add GN and GIoU loss for retinanet · Issue #4932 · pytorch ...
https://github.com/pytorch/vision/issues/4932
15.11.2021 · gIoU is currently supported as torchvision.ops.generalized_box_iou (this name was kept for DeTR compatibility) and I guess creating loss function from the op is straightforward? I think it is 1 - ops.generalized_box_iou? For loss functions there is an RFC #2980 and I guess gIoU loss is proposed there.
GitHub - lilanxiao/Rotated_IoU: Differentiable IoU of ...
https://github.com/lilanxiao/Rotated_IoU
01.09.2021 · Pytorch function to calculate the intersection of area of rectangles using functions above; Test cases; Rotated 2d/3d GIoU and DIoU loss; Demo to validate the back-propagation; Validate 2d/3d IoU loss in Object detection; Requirements. Code is tested on Ubuntu 18.04. Following dependencies are needed
gIoU: Generalized Intersection over Union: A ... - GitHub Pages
patrick-llgc.github.io › paper_notes › giou
gIoU The sIoU Notes. VNet in 2016 was the first to propose Dice Loss in image segmentation. Lovasz Softmax (CVPR 2018) is a high-performing surrogate for IoU loss, but is also used for segmentation. Unit Box is the first attempt to use IoU loss in object detection.
Zzh-tju/DIoU-pytorch-detectron: Distance-IoU Loss into Faster ...
https://github.com › Zzh-tju › DIo...
Distance-IoU Loss into Faster R-CNN. Contribute to Zzh-tju/DIoU-pytorch-detectron development by creating an account on GitHub.
chenjun2hao/GIOU_EAST: use giou loss function for east
https://github.com › GIOU_EAST
use giou loss function for east. Contribute to chenjun2hao/GIOU_EAST development by creating an account on GitHub.
JaryHuang/awesome_SSD_FPN_GIoU - GitHub
https://github.com › JaryHuang › a...
Now, we provide the classficaiton {FocalLoss,CrossEntropy},Regression {SmoothL1,Giou}.(see 'configs/config.py`). Training yourself dataset. if you want to ...
GitHub - generalized-iou/Detectron.pytorch
github.com › generalized-iou › Detectron
May 17, 2019 · This repository is a fork of roytseng-tw/Detectron.pytorch, with an implementation of GIoU and IoU loss while keeping the code as close to the original as possible. It is also possible to train the network with SmoothL1 loss as in the original code. See the options below. Losses
GIoU - GitHub
https://github.com › generalized-iou
GIoU has 3 repositories available. ... GIoU. Generalized Intersection over Union. https://giou.stanford.edu ... Detectron.pytorch Public. Python 122 16.
GitHub - lilanxiao/Rotated_IoU: Differentiable IoU of rotated ...
github.com › lilanxiao › Rotated_IoU
Sep 01, 2021 · This repo is an unofficial implementation of IoU Loss for 2D/3D Object Detection. It contains the Pytorch function which calculates the intersection area of oriented rectangles using GPU. Note The CUDA extension is modified recently to cover some corner cases. Please consider to update the code and re-compile the extension. Check List
CoinCheung/pytorch-loss: label-smooth, amsoftmax, partial-fc ...
https://github.com › CoinCheung
Maybe useful - GitHub - CoinCheung/pytorch-loss: label-smooth, amsoftmax, ... giou-loss, affinity-loss, pc_softmax_cross_entropy, ohem-loss(softmax based on ...
miaoshuyu/object-detection-usages - focal-loss - GitHub
https://github.com › miaoshuyu
... loss、GIoU loss、 DIoU loss、CIoU loss, cross-entropy、focal-loss、GHM, AP/MAP and so on by Pytorch. - GitHub - miaoshuyu/object-detection-usages: The ...
pytorch-loss/generalized_iou_loss.py at master - GitHub
https://github.com › blob › general...
Maybe useful - pytorch-loss/generalized_iou_loss.py at master · CoinCheung/pytorch-loss. ... loss proposed in the paper of giou.
GIoU - GitHub
https://github.com/generalized-iou
g-darknet Public. darknet with GIoU. Jupyter Notebook 305 64 1 3 Updated on Oct 12, 2021. Detectron.pytorch Public. Python 122 MIT 16 3 0 Updated on May 23, 2019. g-tensorflow-models Public. tensorflow/models with GIoU. Python 76 Apache-2.0 19 4 …
GitHub - CoinCheung/pytorch-loss: label-smooth, amsoftmax ...
https://github.com/CoinCheung/pytorch-loss
31.12.2021 · pytorch-loss. My implementation of label-smooth, amsoftmax, partial-fc, focal-loss, dual-focal-loss, triplet-loss, giou-loss, affinity-loss, pc_softmax_cross_entropy, ohem-loss(softmax based on line hard mining loss), large-margin-softmax(bmvc2019), lovasz-softmax-loss, and dice-loss(both generalized soft dice loss and batch soft dice loss).