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04/06/2023
SegGPT: Segmenting Everything In Context
We present SegGPT, a generalist model for segmenting everything in conte...
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03/30/2023
Zero-Shot Video Editing Using Off-The-Shelf Image Diffusion Models
Large-scale text-to-image diffusion models achieve unprecedented success...
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03/27/2023
EVA-CLIP: Improved Training Techniques for CLIP at Scale
Contrastive language-image pre-training, CLIP for short, has gained incr...
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03/20/2023
EVA-02: A Visual Representation for Neon Genesis
We launch EVA-02, a next-generation Transformer-based visual representat...
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12/05/2022
Images Speak in Images: A Generalist Painter for In-Context Visual Learning
In-context learning, as a new paradigm in NLP, allows the model to rapid...
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11/18/2021
SimMIM: A Simple Framework for Masked Image Modeling
This paper presents SimMIM, a simple framework for masked image modeling...
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11/18/2021
Swin Transformer V2: Scaling Up Capacity and Resolution
We present techniques for scaling Swin Transformer up to 3 billion param...
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06/24/2021
Video Swin Transformer
The vision community is witnessing a modeling shift from CNNs to Transfo...
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05/10/2021
Self-Supervised Learning with Swin Transformers
We are witnessing a modeling shift from CNN to Transformers in computer ...
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03/25/2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
This paper presents a new vision Transformer, called Swin Transformer, t...
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05/08/2020
