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05/25/2023
Image is First-order Norm+Linear Autoregressive
This paper reveals that every image can be understood as a first-order n...
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11/21/2022
Exploring Discrete Diffusion Models for Image Captioning
The image captioning task is typically realized by an auto-regressive me...
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10/17/2022
Vision-Language Pre-training: Basics, Recent Advances, and Future Trends
This paper surveys vision-language pre-training (VLP) methods for multim...
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07/20/2022
NUWA-Infinity: Autoregressive over Autoregressive Generation for Infinite Visual Synthesis
In this paper, we present NUWA-Infinity, a generative model for infinite...
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03/23/2022
Deep Frequency Filtering for Domain Generalization
Improving the generalization capability of Deep Neural Networks (DNNs) i...
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11/30/2021
MMPTRACK: Large-scale Densely Annotated Multi-camera Multiple People Tracking Benchmark
Multi-camera tracking systems are gaining popularity in applications tha...
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11/24/2021
Scaling Up Vision-Language Pre-training for Image Captioning
In recent years, we have witnessed significant performance boost in the ...
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11/23/2021
Crossing the Format Boundary of Text and Boxes: Towards Unified Vision-Language Modeling
In this paper, we propose UNICORN, a vision-language (VL) model that uni...
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11/22/2021
Florence: A New Foundation Model for Computer Vision
Automated visual understanding of our diverse and open world demands com...
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11/03/2021
An Empirical Study of Training End-to-End Vision-and-Language Transformers
Vision-and-language (VL) pre-training has proven to be highly effective ...
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06/16/2021
End-to-End Semi-Supervised Object Detection with Soft Teacher
This paper presents an end-to-end semi-supervised object detection appro...
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04/01/2021
Mesh Graphormer
We present a graph-convolution-reinforced transformer, named Mesh Grapho...
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01/12/2021
SEED: Self-supervised Distillation For Visual Representation
This paper is concerned with self-supervised learning for small models. ...
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10/12/2020
