wanglichenxj / Adaptive-Graph-Guided-Embedding-for-Multi-label-Annotation
AG2E: A novel adaptive graph based multi-label learning framework for multi-label annotation, image retrieval, and other applications.
☆21Updated 5 years ago
Alternatives and similar repositories for Adaptive-Graph-Guided-Embedding-for-Multi-label-Annotation:
Users that are interested in Adaptive-Graph-Guided-Embedding-for-Multi-label-Annotation are comparing it to the libraries listed below
- Pytorch code for our work: Learning Label Correlations for Multi-Label Image Recognition with Graph Networks☆12Updated 3 years ago
- A PyTorch implementation for Asymmetric Tri-training for Unsupervised Domain Adaptation☆44Updated 7 years ago
- MatConvNet: CNNs for MATLAB☆51Updated 7 years ago
- Implementation of paper<Joint Feature Selection and Subspace Learning for Cross-Modal Retrieval>☆17Updated 7 years ago
- Deep Transfer Learning Papers☆79Updated 2 years ago
- Implementation for IGCN and GLP model in our paper "Label Efficient Semi-Supervised Learning via Graph Filtering."☆75Updated 5 years ago
- Dual Attention Graph Convolutional Network☆88Updated 3 years ago
- Self-Paced Multi-view Co-training for person re-id experiment☆30Updated 3 years ago
- LowFER: Low-rank Bilinear Pooling for Link Prediction (ICML 2020)☆13Updated 2 years ago
- Semi-Supervised Robust Deep Neural Networks for Multi-Label Classification☆17Updated 5 years ago
- Various SVM based methods for domain adaptation☆10Updated 9 years ago
- Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling☆58Updated 3 years ago
- Graph Convolutional Neural Network Hashing☆34Updated 5 years ago
- Convolutional Neural Networks (CNNs) are being widely used for various tasks in Computer Vision. We focus on the task of image classifica…☆25Updated 7 years ago
- Deep Bayesian Active Semi-Supervised Learning☆11Updated 7 years ago
- The code written on the understanding of the paper: "Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabel…☆18Updated 6 years ago
- Multi-view dimensionality reduction using tensor canonical correlation analysis☆10Updated 6 years ago
- Wasserstein Based Domain Adaptation Model☆46Updated 6 years ago
- Github page for the paper "Variational Recurrent Neural Networks for Graph Classification" presented at the RLGM workshop of ICLR 2019☆13Updated 4 years ago
- Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization (TPAMI2018)☆28Updated 6 years ago
- The implementation the paper 'Learning Deep Latent Spaces for Multi-Label Classifications' in AAAI 2017☆27Updated 7 years ago
- A tool to download and format PASCAL VOC 2007 dataset for multilabel classification☆10Updated 7 years ago
- NeurIPS 2019 : Learning to Propagate for Graph Meta-Learning☆36Updated 5 years ago
- Codes of ICMR 2019 short paper "Weakly Supervised Image Retrieval via Coarse-scale Feature Fusion and Multi-level Attention Blocks"☆31Updated 2 years ago
- Bayesian (Semi-)Supervised Multilabel Learning☆11Updated 7 years ago
- This is the PyTorch-0.4.0 implementation of few-shot learning on CIFAR-100 with graph neural networks (GNN)☆86Updated 6 years ago
- Transfer Learning☆10Updated 6 years ago
- Sparse graph attention☆17Updated 6 years ago
- Second-Order Pooling for Graph Neural Networks☆16Updated 4 years ago
- 6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"☆41Updated 6 years ago