Zero Shot Learning in Scene Graph Generation
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Updated
Aug 12, 2020 - Python
Zero Shot Learning in Scene Graph Generation
Regularizar code from Adaptive Margin Diversity Regularizer for handling Data Imbalance in Zero-Shot SBIR, ECCV 2020
Pytorch implement of Zero-shot Knowledge Distillation in Deep Neural Networks
In this work we applied multilingual zero-shot transfer concept for the task of toxic comments detection. This concept allows a model trained only on a single-language dataset to work in arbitrary language, even low-resource.
This is a project I had done over my 10-week internship at ORNL. The goal of this project was to use different Computer Vision Techniques to classify pictures of blurred car cabin images
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Improving Zero-Shot Cross-Lingual Hate Speech Detection with Pseudo-Label Fine-Tuning of Transformer Language Models
Convergence [Python application] [Python training] [Python technology sharing] and so on
Pytorch implementation for the paper Generalized Zero-Shot Domain Adaptation via Coupled Conditional Variational Autoencoders
Zero-Shot and Few-shot learning method using ChatGPT on problem sets
Official PyTorch Implementation of EGANS(TEC'23)
[Elsevier Image and Vision Computing] How robust are discriminatively trained zero-shot learning models?
Zero-shot text classification of national AI and defense strategies
[ICCV 2023 CLVL Workshop] Zero-Shot and Few-Shot Video Question Answering with Multi-Modal Prompts
Task Generation Scheme for the Meta-Unsupervised Algorithm
Implementation of Zero-Shot Question Answering in PyTorch
An in-depth evaluation of approaches to text classification that compares supervised and zero-shot models.
LLMs for Low Resource Languages in Multilingual, Multimodal and Dialectal Settings
Official repository of the paper "Zero-shot face recognition: Improving the discriminability of visual face features using a Semantic-Guided Attention Model", Expert Systems With Applications 2022
Multi-Agent VQA: Exploring Multi-Agent Foundation Models on Zero-Shot Visual Question Answering
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