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← Core AI
Computer Vision
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Core AI
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Foundation Models
35 papers
Papers per year
2018: 1
1
2021: 1
1
2022: 4
4
2023: 7
7
2024: 11
11
2025: 11
11
Papers
DynIBaR: Neural Dynamic Image-Based Rendering
CVPR 2023
EVA: Exploring the Limits of Masked Visual Representation Learning at Scale
CVPR 2023
Open-Vocabulary Attribute Detection
CVPR 2023
Hint-Aug: Drawing Hints From Foundation Vision Transformers Towards Boosted Few-Shot Parameter-Efficient Tuning
CVPR 2023
Could Giant Pre-trained Image Models Extract Universal Representations?
NIPS 2022
Masked Autoencoders Are Scalable Vision Learners
CVPR 2022
Playable Environments: Video Manipulation in Space and Time
CVPR 2022
An Explainable Toolbox for Evaluating Pre-trained Vision-Language Models
EMNLP 2022
SOLQ: Segmenting Objects by Learning Queries
NIPS 2021
A Flexible and Easy-to-use Semantic Role Labeling Framework for Different Languages
COLING 2018
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