Search Results for author: Wenze Hu

Found 6 papers, 3 papers with code

Implementation of an Automated Learning System for Non-experts

1 code implementation26 Mar 2022 Phoenix X. Huang, Zhiwei Zhao, Chao Liu, Jingyi Liu, Wenze Hu, Xiaoyu Wang

This paper detailed the engineering system implementation of an automated machine learning system called YMIR, which completely relies on graphical interface to interact with users.

EdgeFormer: Improving Light-weight ConvNets by Learning from Vision Transformers

1 code implementation8 Mar 2022 Haokui Zhang, Wenze Hu, Xiaoyu Wang

Experiment results show that the proposed EdgeFormer achieves better performance than popular light-weight ConvNets and vision transformer based models in common vision tasks and datasets, while having fewer parameters and faster inference speed.

Image Classification Object Detection +1

YMIR: A Rapid Data-centric Development Platform for Vision Applications

1 code implementation19 Nov 2021 Phoenix X. Huang, Wenze Hu, William Brendel, Manmohan Chandraker, Li-Jia Li, Xiaoyu Wang

This paper introduces an open source platform to support the rapid development of computer vision applications at scale.

Active Learning

Connecting Compression Spaces with Transformer for Approximate Nearest Neighbor Search

no code implementations30 Jul 2021 Haokui Zhang, Buzhou Tang, Wenze Hu, Xiaoyu Wang

Specifically, based on transformer, we propose a new network structure to compress the feature into a low dimensional space, and an inhomogeneous neighborhood relationship preserving (INRP) loss that aims to maintain high search accuracy.

Information Retrieval Quantization

Unsupervised Learning of Dictionaries of Hierarchical Compositional Models

no code implementations CVPR 2014 Jifeng Dai, Yi Hong, Wenze Hu, Song-Chun Zhu, Ying Nian Wu

Given a set of unannotated training images, a dictionary of such hierarchical templates are learned so that each training image can be represented by a small number of templates that are spatially translated, rotated and scaled versions of the templates in the learned dictionary.

Domain Adaptation Template Matching

Learning Inhomogeneous FRAME Models for Object Patterns

no code implementations CVPR 2014 Jianwen Xie, Wenze Hu, Song-Chun Zhu, Ying Nian Wu

We investigate an inhomogeneous version of the FRAME (Filters, Random field, And Maximum Entropy) model and apply it to modeling object patterns.

Frame

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