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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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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...
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04/18/2022
Temporally Efficient Vision Transformer for Video Instance Segmentation
Recently vision transformer has achieved tremendous success on image-lev...
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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...
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02/07/2022
Corrupted Image Modeling for Self-Supervised Visual Pre-Training
We introduce Corrupted Image Modeling (CIM) for self-supervised visual p...
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07/05/2021
What Makes for Hierarchical Vision Transformer?
Recent studies show that hierarchical Vision Transformer with interleave...
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06/22/2021
Tracking Instances as Queries
Recently, query based deep networks catch lots of attention owing to the...
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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...
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05/05/2021
QueryInst: Parallelly Supervised Mask Query for Instance Segmentation
Recently, query based object detection frameworks achieve comparable per...
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04/13/2021
Crossover Learning for Fast Online Video Instance Segmentation
Modeling temporal visual context across frames is critical for video ins...
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12/31/2019
