Search Results for author: Yuxuan Cai

Found 11 papers, 5 papers with code

Anomaly Detection by Adapting a pre-trained Vision Language Model

no code implementations14 Mar 2024 Yuxuan Cai, Xinwei He, Dingkang Liang, Ao Tong, Xiang Bai

Recently, large vision and language models have shown their success when adapting them to many downstream tasks.

Anomaly Detection Language Modelling +1

Yi: Open Foundation Models by 01.AI

1 code implementation7 Mar 2024 01. AI, :, Alex Young, Bei Chen, Chao Li, Chengen Huang, Ge Zhang, Guanwei Zhang, Heng Li, Jiangcheng Zhu, Jianqun Chen, Jing Chang, Kaidong Yu, Peng Liu, Qiang Liu, Shawn Yue, Senbin Yang, Shiming Yang, Tao Yu, Wen Xie, Wenhao Huang, Xiaohui Hu, Xiaoyi Ren, Xinyao Niu, Pengcheng Nie, Yuchi Xu, Yudong Liu, Yue Wang, Yuxuan Cai, Zhenyu Gu, Zhiyuan Liu, Zonghong Dai

The Yi model family is based on 6B and 34B pretrained language models, then we extend them to chat models, 200K long context models, depth-upscaled models, and vision-language models.

Attribute Chatbot +2

A Discrepancy Aware Framework for Robust Anomaly Detection

1 code implementation11 Oct 2023 Yuxuan Cai, Dingkang Liang, Dongliang Luo, Xinwei He, Xin Yang, Xiang Bai

To alleviate this issue, we present a Discrepancy Aware Framework (DAF), which demonstrates robust performance consistently with simple and cheap strategies across different anomaly detection benchmarks.

Anomaly Detection Defect Detection +2

RevColV2: Exploring Disentangled Representations in Masked Image Modeling

1 code implementation NeurIPS 2023 Qi Han, Yuxuan Cai, Xiangyu Zhang

Such design enables our architecture with the nice property: maintaining disentangled low-level and semantic information at the end of the network in MIM pre-training.

Image Classification object-detection +3

Reversible Column Networks

1 code implementation22 Dec 2022 Yuxuan Cai, Yizhuang Zhou, Qi Han, Jianjian Sun, Xiangwen Kong, Jun Li, Xiangyu Zhang

Such architectural scheme attributes RevCol very different behavior from conventional networks: during forward propagation, features in RevCol are learned to be gradually disentangled when passing through each column, whose total information is maintained rather than compressed or discarded as other network does.

Ranked #8 on Semantic Segmentation on ADE20K (using extra training data)

Image Classification object-detection +3

Automatic Mapping of the Best-Suited DNN Pruning Schemes for Real-Time Mobile Acceleration

no code implementations22 Nov 2021 Yifan Gong, Geng Yuan, Zheng Zhan, Wei Niu, Zhengang Li, Pu Zhao, Yuxuan Cai, Sijia Liu, Bin Ren, Xue Lin, Xulong Tang, Yanzhi Wang

Weight pruning is an effective model compression technique to tackle the challenges of achieving real-time deep neural network (DNN) inference on mobile devices.

Model Compression

YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design

3 code implementations12 Sep 2020 Yuxuan Cai, Hongjia Li, Geng Yuan, Wei Niu, Yanyu Li, Xulong Tang, Bin Ren, Yanzhi Wang

In this work, we propose YOLObile framework, a real-time object detection on mobile devices via compression-compilation co-design.

Computational Efficiency Object +2

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