Python library for self-supervised one-shot learning for automatic segmentation of GAN-generated images.
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Updated
Apr 11, 2023 - Python
Python library for self-supervised one-shot learning for automatic segmentation of GAN-generated images.
[TIP-2023] IEEE Trans.on Image Processing
[ICCV 2023 CLVL Workshop] Zero-Shot and Few-Shot Video Question Answering with Multi-Modal Prompts
This code is for the honour thesis developed by Dannong Xu. It includes CTNet (developed algorithm in the thesis), Siamese Network, MAML, and Reptile.
ProtoNet for Few-Shot Learning in TensorFlow2 and Applications
Implementation of RepMet
Official Implementation of "Domain Adaptive Few-Shot Open-Set Learning" in IEEE/CVF International Conference on Computer Vision (ICCV'23)
Code for paper the "Distance-Ratio-Based Formulation for Metric Learning"
Mammals reproduce. Is MAML reproducible?
Few-shot image classification based on CADA-VAE, using cosine similarity to align two modal features.
Cooperative Bi-path Metric for Few-shot Learning. ACM Conference on Multimedia (ACM MM), 2020
COVID-19 Question Dataset from the paper "What Are People Asking About COVID-19? A Question Classification Dataset"
Face Recognition System (multiple faces - recognition from images/live camera )
Lowshot learning with Tensorflow
Code base of In-Context Learning for Dialogue State tracking
This project investigates few-shot learning for relation extraction using the FewRel dataset. We will compare Prototypical Networks, MAML, and k-NNs in different few-shot settings to see which performs best with minimal data. The goal is to improve relation extraction in NLP by effectively handling data scarcity.
Few-Shot Specific Emitter Identification (FS-SEI) Method
Code for "Improved Few-Shot Visual Classification"
Few-Shot Sound Event Detection from Justin Salamon paper's "Few-Shot Sound Event Detection". Implementation of Relation Network and Prototypical Network.
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