chen-yil

chen-yil's Stars

• open-mmlab/mmyolo

  OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.

  Language:Python2.9k33393534

• median-research-group/LibMTL

  A PyTorch Library for Multi-Task Learning

  Language:Python2k1878182

• TomMao23/multiyolov5

  joint detection and semantic segmentation, based on ultralytics/yolov5,

  Language:Python658726147

• Mikoto10032/AutomaticWeightedLoss

  Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning

  Language:Python56951883

• SaoYan/DnCNN-PyTorch

  PyTorch implementation of the TIP2017 paper "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"

  Language:Python401612115

• hunterlew/mstar_deeplearning_project

  Radar target classification, detection and recognition using deeplearning methods on MSTAR dataset

  Language:C++21615670

• litcoderr/ComplexCNN

  pytorch implementation of complex convolutional neural network

  Language:Python1634424

• XinyuanLiao/ComplexNN

  😀A toolbox for using complex valued standard network modules in PyTorch.

  Language:Python95426

• LucasBoTang/GradNorm

  PyTorch implementation of the GradNorm

  Language:Jupyter Notebook66204

• MathieuRita/SAR_denoising

  Denoising framework for SAR images (Synthetic Aperture Radar) based on the FFDNet. Final project of MVA course "Remote sensing data: from sensor to large-scale geospatial data exploitation"

  Language:Jupyter Notebook50228

• shanayghag/Sentiment-classification-using-XLNet

  Fine-tuning XLNet model sentiment classification.

  Language:Jupyter Notebook31219

• JK-the-Ko/SAR-CAM

  [IEEE JSTARS] Official PyTorch Implementation of "SAR Image Despeckling Using Continuous Attention Module"

  Language:Python25264

• EnnengYang/AdaTask

  AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning. AAAI, 2023.

  Language:Python22111

• davin11/CNN-NLM

  Nonlocal CNN SAR Image Despeckling

  Language:Python16145

• RaymondByc/FID-CNN

  The source code of <A Fractional Total Variational CNN Approach for SAR Image Despeckling>

  Language:Python14249

• Justlovesmile/EARL

  (TGRS2023) PyTorch implementation of "EARL: An Elliptical Distribution aided Adaptive Label Assignment for Oriented Object Detection in Remote Sensing Images"

  Language:Python11111

• dyl96/ESG_TODNet

  A Tiny Object Detection Method Based on Explicit Semantic Guidance for Remote Sensing Images (IEEE GRSL 2024)

  Language:Python90

• Hong-yu-Zhang/GAB-Net

  The code for paper: "GAB-Net: A Robust Detector for Remote Sensing Object Detection under Large Sacle Variation and Complex Background"

  Language:Python7200

• muzmax/SAR2SAR_pytorch

  Pytorch implementation of SAR2SAR : a self-supervised despeckling algorithm for SAR images

  Language:Jupyter Notebook71

• thanhtung-dao/sar_drn

  Dilated Residual Net for SAR Image Despeckling

  Language:Python7120

• WHU-SGG-RS-Pro-Group/SAR-despeckling-codes-for-SAR-DCNN-SAR-PNP-and-SAR-RDCP

  SAR despeckling codes for SAR-DCNN, SAR-PNP and SAR-RDCP

  Language:Python70

• plpl2019/TPA

  Official implementation of paper "Threatening Patch Attacks on Object Detection in Optical Remote Sensing Images".

  Language:Jupyter Notebook6202

• I3ab/PSD_SQ

  Official Code for 'PSD-SQ: Point Set Decoding Based on Semantic Query for Object Detection in Remote Sensing Images'[TGRS2024]

  Language:Python41

• ponderbb/multitask-mayhem

  Multi-task learning with adapted torchvision models (SSD, FasterRCNN, DeepLabv3) using Lightning-AI

  Language:Python3300

• Xiaoyan-Zhou/SAR-OOD-Detection-Data

  We have curated existing publicly available datasets, including vehicle targets (MSTAR), airplane targets (SAR-ACD), and ship targets (FUSAR-ship), and created a new dataset for SAR OOD detection.

  30

• zsflalala/D2SE-CNN

  D2SE-CNN: An improved SAR Image Despeckling Network

  Language:Jupyter Notebook30

• duypham01/SAR_DRN

  Implementation of SAR-DRN model, model used 100 images in UCMerced-LandUse Datasets (buildings dataset) include 70 images to training, 10 images to validation and use 1 image in other to test. Implementation as folow paper https://arxiv.org/ftp/arxiv/papers/1709/1709.02898.pdf

  Language:Jupyter Notebook2

• lil-km/SARCNN

  Implementation of SARCNN, SAR Image despeckling, in Pytorch

  Language:Python2100

• efkandurakli/DGFRCNN-RS

  PyTorch implementation of improved version of SIU paper entitled "Domain Generalized Object Detection for Remote Sensing Image"

  Language:Python1100

• fbarrientos/multitask

  Joint Object Detection and Semantic Segmentation

  Language:Python1