looker23333

looker23333's Stars

• uclanlp/reducingbias

  Language:Jupyter Notebook8222

• leeh43/Singularity_Deeplesion

  Language:Python101

• rsummers11/CADLab

  Imaging Biomarkers and Computer-Aided Diagnosis Laboratory

  Language:C++428187

• ushasi/CMIR-NET-A-deep-learning-based-model-for-cross-modal-retrieval-in-remote-sensing

  We address the problem of cross-modal information retrieval in the domain of remote sensing. In particular, we are interested in two application scenarios: i) cross-modal retrieval between panchromatic (PAN) and multispectral imagery, and ii) multi-label image retrieval between very high resolution (VHR) images and speech-based label annotations. These multi-modal retrieval scenarios are more challenging than the traditional uni-modal retrieval approaches given the inherent differences in distributions between the modalities. However, with the increasing availability of multi-source remote sensing data and the scarcity of enough semantic annotations, the task of multi-modal retrieval has recently become extremely important. In this regard, we propose a novel deep neural network-based architecture that is considered to learn a discriminative shared feature space for all the input modalities, suitable for semantically coherent information retrieval. Extensive experiments are carried out on the benchmark large-scale PAN - multispectral DSRSID dataset and the multi-label UC-Merced dataset. Together with the Merced dataset, we generate a corpus of speech signals corresponding to the labels. Superior performance with respect to the current state-of-the-art is observed in all the cases.

  Language:Python82

• Alibaba-MIIL/TResNet

  Official Pytorch Implementation of "TResNet: High-Performance GPU-Dedicated Architecture" (WACV 2021)

  Language:Python46464

• Yejin0111/ADD-GCN

  ADD-GCN: Attention-Driven Dynamic Graph Convolutional Network for Multi-Label Image Recognition (ECCV 2020)

  Language:Python12520

• mathkey/mssnet

  KSSNet: Multi-Label Classification with Label Graph Superimposing

  Language:Python5815

• HCPLab-SYSU/SSGRL

  Language:Python15932

• naufalyai/Multilabel_Image_Annotation

  Language:Python11

• nagmakhan/multi-label-analysis

  Language:Python93

• AmrMaghraby/CNN-RNN-A-Unified-Framework-for-Multi-label-Image-Classification

  Paper implementation

  Language:Python3714

• Enjia/Spatial-Regularization-Network-in-Tensorflow

  implementation of “Learning Spatial Regularization with Image-level Supervisions for Multi-label Image Classification” in Tensorflow

  Language:Python265

• zhangxiann/PyTorch_Practice

  这是我学习 PyTorch 的笔记对应的代码，点击查看 PyTorch 笔记在线电子书

  Language:Python1.2k268

• Shriram-Salunke-045/Image-Captioning-with-Encoder-Decoder-approach-using-ResNet50-and-LSTM.

  Language:Jupyter Notebook3

• puneetsingla17/Image-Captioning-InceptionResnetV2--LSTM-model

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• AnubhavBharadwaaj/image_captioning_using_resnet_encoder_lstm_decoder

  Language:Jupyter Notebook1

• lightaime/deep_gcns

  Tensorflow Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral https://www.deepgcns.org

  Language:Python62889

• spmallick/learnopencv

  Learn OpenCV : C++ and Python Examples

  Language:Jupyter Notebook20.6k11.5k

• James-Yip/AttentionImageClass

  Multi-label Image Recognition by Recurrently Discovering Attentional Regions (Pytorch implementation)

  Language:Python8830

• zhufengx/SRN_multilabel

  Language:Jupyter Notebook14339

• shjo-april/Tensorflow_Improving_Pairwise_Ranking_for_Multi-label_Image_Classification

  [Re-implementation] Improving Pairwise Ranking for Multi-label Image Classification (CVPR2017)

  Language:Python205

• ex4sperans/freesound-classification

  Code for the 3rd place solution to Freesound Audio Tagging 2019 Challenge

  Language:Python548

• nmhkahn/NUS-WIDE-downloader

  My Downloader for NUS-WIDE dataset

  Language:Python2410

• EKami/planet-amazon-deforestation

  The open source repository for the Kaggle Amazon forest devastation competition https://www.kaggle.com/c/planet-understanding-the-amazon-from-space

  Language:Jupyter Notebook12661

• planetlabs/planet-amazon-deforestation

  Language:Jupyter Notebook6719

• Sun-DongYang/Pytorch

  Language:Python6527

• megvii-research/ML-GCN

  PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.

  Language:Python1.4k346

• VecihiAsim/PyTorch-Multi-Label-Image-Classification

  Language:Jupyter Notebook1

• zivenyang/Multi-label-image-classification-with-AlexNet

  使用AlexNet实现多标记图像标注（备份）

  Language:Python41

• biranchi2018/Multi-Label-Image-Classification-on-Movies-Poster-using-CNN

  Multi-Label Image Classification on Movies Poster using CNN

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