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09/04/2023
DAT++: Spatially Dynamic Vision Transformer with Deformable Attention
Transformers have shown superior performance on various vision tasks. Th...
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08/01/2023
FLatten Transformer: Vision Transformer using Focused Linear Attention
The quadratic computation complexity of self-attention has been a persis...
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06/20/2023
Dynamic Perceiver for Efficient Visual Recognition
Early exiting has become a promising approach to improving the inference...
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04/09/2023
Slide-Transformer: Hierarchical Vision Transformer with Local Self-Attention
Self-attention mechanism has been a key factor in the recent progress of...
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01/18/2023
Joint Representation Learning for Text and 3D Point Cloud
Recent advancements in vision-language pre-training (e.g. CLIP) have sho...
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10/17/2022
Contrastive Language-Image Pre-Training with Knowledge Graphs
Recent years have witnessed the fast development of large-scale pre-trai...
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09/18/2022
ActiveNeRF: Learning where to See with Uncertainty Estimation
Recently, Neural Radiance Fields (NeRF) has shown promising performances...
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01/03/2022
Vision Transformer with Deformable Attention
Transformers have recently shown superior performances on various vision...
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11/29/2021
On the Integration of Self-Attention and Convolution
Convolution and self-attention are two powerful techniques for represent...
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12/21/2020
3D Object Detection with Pointformer
Feature learning for 3D object detection from point clouds is very chall...
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07/21/2020
Regularizing Deep Networks with Semantic Data Augmentation
Data augmentation is widely known as a simple yet surprisingly effective...
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09/26/2019