MAEDAY: MAE for few- and zero-shot AnomalY-Detection
- Eli Schwartz
- Assaf Arbelle
- et al.
- 2024
- Computer Vision and Image Understanding
Paper
Publications
8 results for Eli Schwartz
Teaching Structured Vision & Language Concepts to Vision & Language Models
- Sivan Doveh
- Assaf Arbelle
- et al.
- 2023
- CVPR 2023
Conference paperFETA: Towards Specializing Foundational Models for Expert Task Applications
- Amit Alfassy
- Assaf Arbelle
- et al.
- 2022
- NeurIPS 2022
Conference paperBaby steps towards few-shot learning with multiple semantics
- Eli Schwartz
- Leonid Karlinsky
- et al.
- 2022
- Pattern Recognition Letters
PaperUnsupervised Domain Generalization by Learning a Bridge Across Domains
- Sivan Harary
- Eli Schwartz
- et al.
- 2022
- CVPR 2022
Conference paperMetAdapt: Meta-learned task-adaptive architecture for few-shot classification
- Sivan Doveh
- Eli Schwartz
- et al.
- 2021
- Pattern Recognition Letters
PaperRepmet: Representative-based metric learning for classification and few-shot object detection
- Leonid Karlinsky
- Joseph Shtok
- et al.
- 2019
- CVPR 2019
Conference paper∆-encoder: an effective sample synthesis method for few-shot object recognition
- Eli Schwartz
- Leonid Karlinsky
- et al.
- 2018
- NeurIPS 2018
Conference paper