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06/08/2023
Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts
Weight-sharing supernet has become a vital component for performance est...
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03/29/2023
Self-positioning Point-based Transformer for Point Cloud Understanding
Transformers have shown superior performance on various computer vision ...
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12/12/2022
PathFusion: Path-consistent Lidar-Camera Deep Feature Fusion
Fusing camera with LiDAR is a promising technique to improve the accurac...
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12/04/2022
Fast Point Cloud Generation with Straight Flows
Diffusion models have emerged as a powerful tool for point cloud generat...
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11/18/2022
Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention During Vision Transformer Inference
Vision Transformers (ViTs) have shown impressive performance but still r...
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10/13/2022
SageMix: Saliency-Guided Mixup for Point Clouds
Data augmentation is key to improving the generalization ability of deep...
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11/18/2021
You Only Sample (Almost) Once: Linear Cost Self-Attention Via Bernoulli Sampling
Transformer-based models are widely used in natural language processing ...
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02/07/2021
Nyströmformer: A Nyström-Based Algorithm for Approximating Self-Attention
Transformers have emerged as a powerful tool for a broad range of natura...
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04/30/2020
MobileDets: Searching for Object Detection Architectures for Mobile Accelerators
Inverted bottleneck layers, which are built upon depthwise convolutions,...
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04/08/2019
Resource Constrained Neural Network Architecture Search
The design of neural network architectures is frequently either based on...
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04/07/2019
ANTNets: Mobile Convolutional Neural Networks for Resource Efficient Image Classification
Deep convolutional neural networks have achieved remarkable success in c...
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06/10/2018
