← Learning Types
Machine Learning › Learning Types ›

Zero-Shot Learning

3043 directly classified papers

Papers per year

Papers

Targeted Representation Alignment for Open-World Semi-Supervised Learning CVPR 2024
Visual-Augmented Dynamic Semantic Prototype for Generative Zero-Shot Learning CVPR 2024
Geometrically-driven Aggregation for Zero-shot 3D Point Cloud Understanding CVPR 2024
Visual Delta Generator with Large Multi-modal Models for Semi-supervised Composed Image Retrieval CVPR 2024
Point Segment and Count: A Generalized Framework for Object Counting CVPR 2024
Space-Time Diffusion Features for Zero-Shot Text-Driven Motion Transfer CVPR 2024
Boosting Object Detection with Zero-Shot Day-Night Domain Adaptation CVPR 2024
Generative Region-Language Pretraining for Open-Ended Object Detection CVPR 2024
CLIP as RNN: Segment Countless Visual Concepts without Training Endeavor CVPR 2024
Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images CVPR 2024
Incorporating Geo-Diverse Knowledge into Prompting for Increased Geographical Robustness in Object Recognition CVPR 2024
Vlogger: Make Your Dream A Vlog CVPR 2024
Zero-Reference Low-Light Enhancement via Physical Quadruple Priors CVPR 2024
Open-Vocabulary Segmentation with Semantic-Assisted Calibration CVPR 2024
Label Propagation for Zero-shot Classification with Vision-Language Models CVPR 2024
Dual Memory Networks: A Versatile Adaptation Approach for Vision-Language Models CVPR 2024
SAI3D: Segment Any Instance in 3D Scenes CVPR 2024
Learning Transferable Negative Prompts for Out-of-Distribution Detection CVPR 2024
Improving Generalized Zero-Shot Learning by Exploring the Diverse Semantics from External Class Names CVPR 2024
Any-Shift Prompting for Generalization over Distributions CVPR 2024
A Generative Approach for Wikipedia-Scale Visual Entity Recognition CVPR 2024
OST: Refining Text Knowledge with Optimal Spatio-Temporal Descriptor for General Video Recognition CVPR 2024
On the Test-Time Zero-Shot Generalization of Vision-Language Models: Do We Really Need Prompt Learning? CVPR 2024
Anchor-based Robust Finetuning of Vision-Language Models CVPR 2024
Physical Property Understanding from Language-Embedded Feature Fields CVPR 2024