Multi-task learning for image classification implemented in PyTorch.
☆100Oct 8, 2018Updated 7 years ago
Alternatives and similar repositories for multi-task-image-classification
Users that are interested in multi-task-image-classification are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 旨在搭建一个分类问题在Pytorch框架下的通解，批量解决单任务多分类问题、多任务多分类问题。☆56Mar 19, 2020Updated 6 years ago
- PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).☆842Jan 13, 2022Updated 4 years ago
- This is a repository for Multi-task learning with toy data in Pytorch and Tensorflow☆137Sep 23, 2018Updated 7 years ago
- Code and results accompanying our paper titled Leveraging Unlabeled Data to Predict Out-of-Distribution Performance at ICLR 2022☆10Dec 8, 2022Updated 3 years ago
- 6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"☆42May 29, 2018Updated 8 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Implementation "Adapting Auxiliary Losses Using Gradient Similarity" article☆33Mar 1, 2019Updated 7 years ago
- This repo contains the code used for NeurIPS 2019 paper "Asymmetric Valleys: Beyond Sharp and Flat Local Minima".☆14Oct 25, 2019Updated 6 years ago
- (ICCV 2019 Oral) Many Task Learning With Task Routing http://openaccess.thecvf.com/content_ICCV_2019/html/Strezoski_Many_Task_Learning_Wi…☆64Dec 3, 2019Updated 6 years ago
- Breast tumor segmentation and shape classification in mammograms using generative adversarial and convolutional neural network☆13Jul 30, 2021Updated 4 years ago
- [CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning☆93Dec 8, 2022Updated 3 years ago
- Implementation of Concept-level Debugging of Part-Prototype Networks☆12May 9, 2023Updated 3 years ago
- A Tensorflow implementation of the paper arXiv:1604.03539☆135Jul 25, 2018Updated 8 years ago
- ☆13Oct 8, 2021Updated 4 years ago
- [IJCV 2022] Domain-Specific Bias Filtering for Single Labeled Domain Generalization☆12Nov 10, 2022Updated 3 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Rethinking Feature Distribution for Loss Functions in Image Classification☆41Jul 15, 2023Updated 3 years ago
- The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].☆731Feb 7, 2022Updated 4 years ago
- Hierarchical Bilinear Pooling for Fine-Grained Visual Recognition reimplement in Pytorch.☆105Jul 11, 2020Updated 6 years ago
- Implementation of the spotlight: a method for discovering systematic errors in deep learning models☆11Oct 5, 2021Updated 4 years ago
- List of papers on cryptography assisted deep learning privacy computation☆22Apr 1, 2026Updated 3 months ago
- Classification of human emotion using multi-modal models☆12Jun 27, 2020Updated 6 years ago
- A PyTorch implementation of NormSoftmax based on BMVC 2019 paper "Classification is a Strong Baseline for Deep Metric Learning"☆10Mar 15, 2020Updated 6 years ago
- FCA-Net: Adversarial Learning for Skin Lesion Segmentation Based on Multi-scale Features and Factorized Channel Attention☆21Apr 1, 2021Updated 5 years ago
- The code of the paper, FashionNet. Using Keras, on Jupyter☆14Apr 12, 2019Updated 7 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- [Pytorch] U-Net and R2U-Net models for Image Segmentation. Results are shown for STARE/DRIVE datasets.☆27Jun 26, 2020Updated 6 years ago
- Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation", Haoxi…☆67Oct 18, 2021Updated 4 years ago
- The realization of paper 'HD-CNN: Hierarchical Deep Convolutional Neural Networks for Large Scale Visual Recognition'☆10Dec 18, 2025Updated 7 months ago
- ☆148Dec 13, 2021Updated 4 years ago
- Overlooked Factors in Concept-based Explanations: Dataset Choice, Concept Learnability, and Human Capability (CVPR 2023)☆10Mar 14, 2023Updated 3 years ago
- Using CNN for classifying 101 different food categories - using VGG16, Alex Net and SVM☆10Jan 6, 2020Updated 6 years ago
- This is the pytorch demo code for Multi-Source Unsupervised Domain Adaptation via Pseudo Target Domain, (PTMDA) (IEEE Transactions on Ima…☆11Apr 15, 2022Updated 4 years ago
- ☆18Dec 17, 2023Updated 2 years ago
- Weighted Feature Fusion of Convolutional Neural Network and Graph Attention Network for Hyperspectral Image Classification☆69Mar 29, 2025Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Asymmetric Multi-Task Learning code, If you want to use it, please let me know and cite AMTL paper☆11Aug 3, 2016Updated 9 years ago
- ☆15Oct 3, 2023Updated 2 years ago
- ADD-GCN: Attention-Driven Dynamic Graph Convolutional Network for Multi-Label Image Recognition (ECCV 2020)☆134Apr 13, 2022Updated 4 years ago
- Philo: uniting modalities. A repository with adaptive fusion techniques for multimodal data☆26Mar 16, 2025Updated last year
- CME: Concept-based Model Extraction☆13Nov 24, 2020Updated 5 years ago
- [ICML 2021 Oral] "CATE: Computation-aware Neural Architecture Encoding with Transformers" by Shen Yan, Kaiqiang Song, Fei Liu, Mi Zhang☆19Jun 23, 2021Updated 5 years ago
- Multimodal classification solution for the SIGIR eCOM using Co-attention and transformer language models☆19Aug 17, 2020Updated 5 years ago