Juhi-Purswani / Multimodal_Meta_Learning_with_Siamese_Network
Multi-modal classifications of digits with image and audio modality. One shot learning with Siamese network is used to predict if the given input image-audio pair belongs to same class or not.
☆14Updated last year
Related projects: ⓘ
- ☆18Updated 3 years ago
- Metric Learning (npair loss & angular loss) on mnist and Visualizing by t_SNE☆35Updated last year
- Codes for "Few-shot Image Classification: Just Use a Library of Pre-trained Feature Extractors and a Simple Classifier"☆27Updated 3 years ago
- This repo includes the CUB-GHA (Gaze-based Human Attention) dataset and code of the paper "Human Attention in Fine-grained Classification…☆28Updated 2 years ago
- Code and data for Paper - Towards Open World Recognition - CVPR 2015☆21Updated 6 years ago
- Pytorch implementation of Exploring Simple Siamese Representation Learning☆19Updated last year
- Open-set Recognition with Adversarial Autoencoders☆34Updated 5 years ago
- Code for Class Anchor Clustering loss for training a distance-based open set classifier☆66Updated last year
- t-sne visualization of mnist images when feature is represented by raw pixels and cnn learned feature☆62Updated 6 years ago
- Multimodal classification solution for the SIGIR eCOM using Co-attention and transformer language models☆19Updated 4 years ago
- Official code for the paper "Self-Supervised Prototypical Transfer Learning for Few-Shot Classification"☆51Updated 3 years ago
- Code for the Paper: "Conditional Variational Capsule Network for Open Set Recognition", Y. Guo, G. Camporese, W. Yang, A. Sperduti, L. Ba…☆42Updated last year
- Code for <Cross-Task Transfer for Geotagged Audiovisual Aerial Scene Recognition> (ECCV 2020)☆35Updated 3 years ago
- Try Openmax with MNIST Fashion dataset☆11Updated 6 years ago
- Gluon implementation of channel-attention modules: SE, ECA, GCT☆36Updated 3 years ago
- Official PyTorch Implementation of FREE (ICCV'21)☆33Updated 2 years ago
- A PyTorch implementation of Mixup☆14Updated 6 years ago
- The original code for the data providers and the datasets of the paper "Defining Benchmarks for Continual Few-Shot Learning".☆16Updated 4 years ago
- PyTorch implementation of the paper [Semi-Supervised Learning With GANs: Revisiting Manifold Regularization].☆19Updated 3 years ago
- Code accompanying the paper "A Generative Framework for Zero Shot Learning with Adversarial Domain Adaptation"☆19Updated 3 years ago
- reproduce ICLR18 paper "Learn to Pay Attention"☆18Updated 3 years ago
- SSL-FEW-SHOT☆12Updated 4 years ago
- supervised and semi-supervised image classification with self-supervision (Keras)☆45Updated 3 years ago
- ☆34Updated last year
- Code release for Grad-CAM Guided Attention Module for Fine-grained Visual Classification (MLSP 2022)☆12Updated 3 years ago
- PyTorch implementation of Deep-Learning Architectures☆11Updated last year
- Discriminative Feature Alignment for Unsupervised Domain Adaptation☆68Updated 3 years ago
- Class Normalization for Continual Zero-Shot Learning☆34Updated 3 years ago
- PyTorch implementation for "Few-Shot Learning with Class Imbalance"☆35Updated 3 years ago
- ☆19Updated last year