Search Results for author: Yong Wu

Found 6 papers, 3 papers with code

Few-Shot Learning of Compact Models via Task-Specific Meta Distillation

no code implementations18 Oct 2022 Yong Wu, Shekhor Chanda, Mehrdad Hosseinzadeh, Zhi Liu, Yang Wang

In this paper, we propose task-specific meta distillation that simultaneously learns two models in meta-learning: a large teacher model and a small student model.

Few-Shot Image Classification

Accelerating SLIDE Deep Learning on Modern CPUs: Vectorization, Quantizations, Memory Optimizations, and More

2 code implementations6 Mar 2021 Shabnam Daghaghi, Nicholas Meisburger, Mengnan Zhao, Yong Wu, Sameh Gobriel, Charlie Tai, Anshumali Shrivastava

Our work highlights several novel perspectives and opportunities for implementing randomized algorithms for deep learning on modern CPUs.

Personal Fixations-Based Object Segmentation with Object Localization and Boundary Preservation

1 code implementation22 Jan 2021 Gongyang Li, Zhi Liu, Ran Shi, Zheng Hu, Weijie Wei, Yong Wu, Mengke Huang, Haibin Ling

In this paper, we focus on Personal Fixations-based Object Segmentation (PFOS) to address issues in previous studies, such as the lack of appropriate dataset and the ambiguity in fixations-based interaction.

Image Segmentation Object Localization +1

Nimble: Efficiently Compiling Dynamic Neural Networks for Model Inference

no code implementations4 Jun 2020 Haichen Shen, Jared Roesch, Zhi Chen, Wei Chen, Yong Wu, Mu Li, Vin Sharma, Zachary Tatlock, Yida Wang

Modern deep neural networks increasingly make use of features such as dynamic control flow, data structures and dynamic tensor shapes.

Attention Deep Model with Multi-Scale Deep Supervision for Person Re-Identification

no code implementations23 Nov 2019 Di Wu, Chao Wang, Yong Wu, De-Shuang Huang

Besides, most of the multi-scale models embedding the multi-scale feature learning block into the feature extraction deep network, which reduces the efficiency of inference network.

Person Re-Identification

Binarized Neural Networks on the ImageNet Classification Task

1 code implementation11 Apr 2016 Xundong Wu, Yong Wu, Yong Zhao

We trained Binarized Neural Networks (BNNs) on the high resolution ImageNet ILSVRC-2102 dataset classification task and achieved a good performance.

Classification General Classification

Cannot find the paper you are looking for? You can Submit a new open access paper.