Zero-shot video classification by end-to-end training of 3D convolutional neural networks
Diffusion Classifier leverages pretrained diffusion models to perform zero-shot classification without additional training
DeViSE model (zero-shot learning) trained on ImageNet and deployed on AWS using Docker
A Framework for Textual Entailment based Zero Shot text classification
Zero shot classification using shared text and image embeddings in TensorFlow
code for AAAI2022 paper "Open Vocabulary Electroencephalography-To-Text Decoding and Zero-shot Sentiment Classification"
[CVPR 2023] Unofficial re-implementation of "WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation".
code for the paper "Zero-Shot Text Classification with Self-Training" for EMNLP 2022
This repository contains an easy and intuitive approach to few-shot classification using sentence-transformers or spaCy models, or zero-shot classification with Huggingface.
Exploring Hierarchical Graph Representation for Large-Scale Zero-Shot Image Classification. ECCV 2022.
Open-vocabulary Semantic Segmentation
Repository for ICML 2023 Submissions: CHiLS: Zero-shot Image Classification with Hierarchical Label Sets
Zero-Shot Learning with GCN (CVPR 2018)
InstantID: Zero-shot Identity-Preserving Generation in Seconds 🔥
Combining Segment Anything (SAM) with Grounded DINO for zero-shot object detection and CLIPSeg for zero-shot segmentation
Zero-1-to-3: Zero-shot One Image to 3D Object (ICCV 2023)
Robust fine-tuning of zero-shot models
Zero-shot Image-to-Image Translation [SIGGRAPH 2023]