Topic: focal-loss Goto Github
Some thing interesting about focal-loss
Some thing interesting about focal-loss
focal-loss,Polyloss Pytorch Implementation
User: abhuse
focal-loss,Object detection and localization with Tensorflow 2 and Keras
User: alireza-akhavan
focal-loss,A PyTorch implementation of U-Net for aerial imagery semantic segmentation.
User: amirhosseinh77
focal-loss,Natural Language Processing: A multi-headed model capable of detecting different types of online discussion toxicity like threats, obscenity, insults, and identity-based hate using Keras RNN LSTM and focal loss to address a hyper-imbalanced dataset.
User: andiosika
focal-loss,Different Loss Function Implementations in PyTorch and Keras
User: anwai98
focal-loss,D3M - Dynamic Data Discrepancy Mitigation for Anti-spoofing - Implementation of work Dynamically Mitigating Data Discrepancy with Balanced Focal Loss for Replay Attack Detection
Organization: asvspoof
Home Page: https://arxiv.org/abs/2006.14563v3
focal-loss,PyTorch extensions for fast R&D prototyping and Kaggle farming
User: bloodaxe
focal-loss,An image segmentation project using PyTorch to segment the Left Atrium in 3D Late gadolinium enhanced - cardiac MR images of the human heart.
User: bragancas
focal-loss,Catalyst.Classification
Organization: catalyst-team
Home Page: https://github.com/catalyst-team/catalyst
focal-loss,Vision Based Document Layout Detection, Segmentation and context classification using MaskRCNN on Tensorflow-Keras, PyTorch & Detectron2.
User: charlie6echo
focal-loss,Adversarial Focal Loss: Asking Your Discriminator for Hard Examples.
User: chenliu-1996
Home Page: https://arxiv.org/abs/2207.07739
focal-loss,:package:Simple Tool Box with Pytorch
User: cjf8899
focal-loss,compare the performance of cross entropy, focal loss, and dice loss in solving the problem of data imbalance
User: cjymz886
focal-loss,PyTorch implementation of focal loss for multi-class semantic segmentation
User: cloudpark93
focal-loss,label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful
User: coincheung
focal-loss,Model ensemble: ResNet + FPN, and Focal Loss in TensorFlow2
User: drmmz
focal-loss,RetinaNet for Object Detection in TensorFlow2 and Applications
User: drmmz
focal-loss,Pytorch code of Sequential/Hierarchical ERFNet with PSPNet for real-time semantic segmentation
User: elnino9ykl
focal-loss,Easy to use class balanced cross entropy and focal loss implementation for Pytorch
User: fcakyon
Home Page: https://pypi.org/project/balanced-loss/
focal-loss,This is an implementation of multi-class focal loss in PyTorch.
User: gazelle93
focal-loss,PyTorch Implementation of Focal Loss and Lovasz-Softmax Loss
User: hsuxu
focal-loss,**法研杯CAIL2019要素抽取任务第三名方案分享
User: huanghuidmml
focal-loss,VarifocalNet: An IoU-aware Dense Object Detector
User: hyz-xmaster
focal-loss,Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection, NeurIPS2020
User: implus
focal-loss,Focal CTC for End-To-End OMR task with Class Imbalance, SangCTC (Part I)
User: jimitshah77
focal-loss,An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems
User: jrzaurin
focal-loss,KiPA2022——Multi-Structure Segment for Renal Cancer Treatment.
User: junqiangchen
focal-loss,此一project是由清华大学医学院的姚非凡与郑家瀚共同开发完成,这里运用了三个目标检测模型,来找到图像里的人脸,以及他们是否有带口罩,是个目标检测+2分类问题。 这一readme.md文件是为了帮助使用者如何正确使用我们的code。我们使用FasterRCNN可达到0.7的mAP[.5:.95]。
User: kahhann92
focal-loss,Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)
User: lonepatient
focal-loss,Using Focal Loss to Fight Shallow Heuristics: An Empirical Analysis of Modulated Cross-Entropy in Natural Language Inference
User: m43
Home Page: https://arxiv.org/pdf/2211.13331.pdf
focal-loss,Implementation of RetinaNet (focal loss) by TensorFlow (object detection)
User: mingtaoguo
focal-loss,PyTorch implementation of polyloss and cyclic focal loss and their performance with sample dataset/s.
User: nachiket273
focal-loss,“COVID-19 x-ray image classification”
User: nauman-akram
focal-loss,Voice Activity Detection (VAD) using deep learning.
User: nicklashansen
focal-loss,A U-Net like convnet for sugar beets crop/weeds segmentation.
User: ohidaoui
focal-loss,Custom Loss Functions and Evaluation Metrics for XGBoost and LightGBM
User: orchardbirds
Home Page: https://orchardbirds.github.io/bokbokbok/
focal-loss,Using various ML models and Neural Networks with Focal Loss function to predict fraudulent credit card transactions.
User: ppokhare
focal-loss,[CVPR 2022] Rethinking Depth Estimation for Multi-View Stereo: A Unified Representation
User: prstrive
focal-loss,HistoSeg is an Encoder-Decoder DCNN which utilizes the novel Quick Attention Modules and Multi Loss function to generate segmentation masks from histopathological images with greater accuracy. This repo contains the code to Test and Train the HistoSeg
User: saadwazir
focal-loss,Official implementation of Spatial Feedback Learning to Improve Semantic Segmentation in Hot Weather.
User: shyam671
focal-loss,A sample code for Lightweight Face Recognition competition ICCV2019
User: someonedistant
Home Page: https://ibug.doc.ic.ac.uk/resources/lightweight-face-recognition-challenge-workshop/
focal-loss,Multi-class classification with focal loss for imbalanced datasets
User: tony607
focal-loss,Code for the ACL 2019 paper "Observing Dialogue in Therapy: Categorizing and Forecasting Behavioral Codes"
Organization: utahnlp
focal-loss,Constrained self-supervised method with temporal ensembling for fiber bundle detection on anatomic tracing data
User: v-sundaresan
focal-loss,Pytorch implementation of Class Balanced Loss based on Effective number of Samples
User: wildoctopus
focal-loss,🚧 | Road crack segmentation using PyTorch
User: yakhyo
Home Page: https://yakhyo.github.io/crack-segmentation/
focal-loss,YOLO Series
User: yl-jiang
focal-loss,基于tf.keras的多标签多分类模型
User: zheng-yuwei
focal-loss,tf-keras-implemented YOLOv3
User: zheng-yuwei
Home Page: https://zheng-yuwei.github.io/2018/12/15/5_YOLOv3/
focal-loss,A PyTorch 1.0 Implementation of Focal Loss.
User: zhoudaxia233
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