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09/08/2023
Mobile V-MoEs: Scaling Down Vision Transformers via Sparse Mixture-of-Experts
Sparse Mixture-of-Experts models (MoEs) have recently gained popularity ...
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08/11/2022
Optimizing Anchor-based Detectors for Autonomous Driving Scenes
This paper summarizes model improvements and inference-time optimization...
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02/24/2022
Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance
In this paper, we study contrastive learning from an optimization perspe...
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02/24/2022
Auto-scaling Vision Transformers without Training
This work targets automated designing and scaling of Vision Transformers...
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12/17/2021
A Simple Single-Scale Vision Transformer for Object Localization and Instance Segmentation
This work presents a simple vision transformer design as a strong baseli...
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09/03/2021
Revisiting 3D ResNets for Video Recognition
A recent work from Bello shows that training and scaling strategies may ...
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06/30/2021
Simple Training Strategies and Model Scaling for Object Detection
The speed-accuracy Pareto curve of object detection systems have advance...
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03/23/2021
Dilated SpineNet for Semantic Segmentation
Scale-permuted networks have shown promising results on object bounding ...
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03/13/2021
Revisiting ResNets: Improved Training and Scaling Strategies
Novel computer vision architectures monopolize the spotlight, but the im...
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10/22/2020
Efficient Scale-Permuted Backbone with Learned Resource Distribution
Recently, SpineNet has demonstrated promising results on object detectio...
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12/10/2019
SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization
Convolutional neural networks typically encode an input image into a ser...
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06/11/2019
TW-SMNet: Deep Multitask Learning of Tele-Wide Stereo Matching
In this paper, we introduce the problem of estimating the real world dep...
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04/19/2019
AMNet: Deep Atrous Multiscale Stereo Disparity Estimation Networks
In this paper, a new deep learning architecture for stereo disparity est...
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12/22/2017
Boundary-sensitive Network for Portrait Segmentation
Compared to the general semantic segmentation problem, portrait segmenta...
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10/11/2016