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08/21/2023
Spatial Transform Decoupling for Oriented Object Detection
Vision Transformers (ViTs) have achieved remarkable success in computer ...
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11/23/2022
Integrally Pre-Trained Transformer Pyramid Networks
In this paper, we present an integral pre-training framework based on ma...
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05/30/2022
HiViT: Hierarchical Vision Transformer Meets Masked Image Modeling
Recently, masked image modeling (MIM) has offered a new methodology of s...
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03/27/2022
Beyond Masking: Demystifying Token-Based Pre-Training for Vision Transformers
The past year has witnessed a rapid development of masked image modeling...
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12/05/2021
Exploring Complicated Search Spaces with Interleaving-Free Sampling
The existing neural architecture search algorithms are mostly working on...
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11/25/2021
Semantic-Aware Generation for Self-Supervised Visual Representation Learning
In this paper, we propose a self-supervised visual representation learni...
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09/17/2021
GraFormer: Graph Convolution Transformer for 3D Pose Estimation
Exploiting relations among 2D joints plays a crucial role yet remains se...
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11/08/2020
Adaptive Linear Span Network for Object Skeleton Detection
Conventional networks for object skeleton detection are usually hand-cra...
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07/07/2020