Yuxin Fang | DeepAI

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184 publications
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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...

0 Quan Sun, et al. ∙

∙ 03/20/2023

EVA-02: A Visual Representation for Neon Genesis

We launch EVA-02, a next-generation Transformer-based visual representat...

0 Yuxin Fang, et al. ∙

∙ 11/14/2022

EVA: Exploring the Limits of Masked Visual Representation Learning at Scale

We launch EVA, a vision-centric foundation model to explore the limits o...

0 Yuxin Fang, et al. ∙

∙ 04/18/2022

Temporally Efficient Vision Transformer for Video Instance Segmentation

Recently vision transformer has achieved tremendous success on image-lev...

0 Shusheng Yang, et al. ∙

∙ 04/06/2022

Unleashing Vanilla Vision Transformer with Masked Image Modeling for Object Detection

We present an approach to efficiently and effectively adapt a masked ima...

14 Yuxin Fang, et al. ∙

∙ 02/07/2022

Corrupted Image Modeling for Self-Supervised Visual Pre-Training

We introduce Corrupted Image Modeling (CIM) for self-supervised visual p...

0 Yuxin Fang, et al. ∙

∙ 07/05/2021

What Makes for Hierarchical Vision Transformer?

Recent studies show that hierarchical Vision Transformer with interleave...

0 Yuxin Fang, et al. ∙

∙ 06/22/2021

Tracking Instances as Queries

Recently, query based deep networks catch lots of attention owing to the...

0 Shusheng Yang, et al. ∙

∙ 06/01/2021

You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection

Can Transformer perform 2D object-level recognition from a pure sequence...

0 Yuxin Fang, et al. ∙

∙ 05/05/2021

QueryInst: Parallelly Supervised Mask Query for Instance Segmentation

Recently, query based object detection frameworks achieve comparable per...

6 Yuxin Fang, et al. ∙

∙ 04/13/2021

Crossover Learning for Fast Online Video Instance Segmentation

Modeling temporal visual context across frames is critical for video ins...

0 Shusheng Yang, et al. ∙

∙ 12/31/2019

Diversity Transfer Network for Few-Shot Learning

Few-shot learning is a challenging task that aims at training a classifi...

12 Mengting Chen, et al. ∙

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