SoulAsylum

SoulAsylum's Stars

• milesial/Pytorch-UNet

  PyTorch implementation of the U-Net for image semantic segmentation with high quality images

  Language:Python8.9k724422.5k

• open-mmlab/mmrotate

  OpenMMLab Rotated Object Detection Toolbox and Benchmark

  Language:Python1.8k20699540

• cgvict/roLabelImg

  Label Rotated Rect On Images for training

  Language:Python810932222

• kaidic/LDAM-DRW

  [NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss

  Language:Python6341418115

• CAPTAIN-WHU/DOTA_devkit

  Language:Jupyter Notebook6331668184

• yaringal/DropoutUncertaintyExps

  Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"

  Language:Python548187122

• jbwang1997/OBBDetection

  OBBDetection is an oriented object detection library, which is based on MMdetection.

  Language:Python5376203114

• cvqluu/Angular-Penalty-Softmax-Losses-Pytorch

  Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)

  Language:Python481111892

• yatengLG/Focal-Loss-Pytorch

  全中文注释.(The loss function of retinanet based on pytorch).(You can use it on one-stage detection task or classifical task, to solve data imbalance influence).用于one-stage目标检测算法,提升检测效果.你也可以在分类任务中使用该损失函数,解决数据不平衡问题.

  Language:Jupyter Notebook450519113

• lilanxiao/Rotated_IoU

  Differentiable IoU of rotated bounding boxes using Pytorch

  Language:Python41295462

• martinkersner/py-img-seg-eval

  Evaluation metrics for image segmentation inspired by paper Fully Convolutional Networks for Semantic Segmentation

  Language:Python2826383

• ShapeNet/RenderForCNN

  Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views

  Language:MATLAB248261682

• gmayday1997/SmallObjectAugmentation

  Simple implementation of augmentation for small object detection

  Language:Python2183345

• yzqxy/Yolov8_obb_Prune_Track

  Language:Python17614413

• jxgu1016/Gabor_CNN_PyTorch

  WACV2018/TIP: Gabor Convolutional Networks

  Language:Python16662040

• zalandoresearch/famos

  Adversarial Framework for (non-) Parametric Image Stylisation Mosaics

  Language:Python1286220

• iKintosh/GaborNet

  Language:Python10251526

• jihunchoi/lsoftmax-pytorch

  PyTorch implementation Large-Margin Softmax (L-Softmax) loss

  Language:Python1004423

• ming71/Rotated-RetinaNet

  Rotation RetinaNet for arbitrary-oriented object detection.

  Language:Python7631618

• HsLOL/Rotation-RetinaNet-PyTorch

  A Rotation RetinaNet Pytorch Implementation on HRSC and SSDD Dataset.

  Language:Python61177

• lehduong/torch-warmup-lr

  Warmup learning rate wrapper for Pytorch Scheduler

  Language:Python39236

• mousecpn/Boosting-R-CNN

  [Neurocomputing 2023] The official implementation of Boosting R-CNN: Reweighting R-CNN Samples by RPN's Error for Underwater Object Detection

  Language:Python292181

• xudongzhao461/FGCN

  Fractional Gabor Convolutional Network for Multi-source Remote Sensing Data Classification

  Language:Python20125

• JueLin/textureSynthesis-stylegan2-pytorch

  Language:Python13131

• FloatButterfly/LCIC_plus

  The extented code of layered conceptual image compression. Journal submitted.

  Language:Python11161

• LeoLau94/Large_Margin_Softmax

  re-implementations of Large-Margin Softmax Loss for Convolutional Neural Networks

  Language:Python7202

• PierrickCh/TextureAutoEncoder

  Language:Python710

• trsvchn/deep-textures

  Unofficial Reimplementation of "Texture Synthesis Using Convolutional Neural Networks" in PyTorch [Gatys et al. 2015](http://arxiv.org/abs/1505.07376)

  Language:Jupyter Notebook6202

• rpetit/texture-synthesis

  Visual texture synthesis using convolutional neural networks

  Language:Jupyter Notebook5102

• siaxyy/FCOM

  110