papers

Publications (23)

cs.LG2022

MixMix: All You Need for Data-Free Compression Are Feature and Data Mixing

Yuhang Li, Feng Zhu, Ruihao Gong +5

cs.CV2022

The Equalization Losses: Gradient-Driven Training for Long-tailed Object Recognition

Jingru Tan, Bo Li, Xin Lu +4

cs.DC2022

Mimose: An Input-Aware Checkpointing Planner for Efficient Training on GPU

Jianjin Liao, Mingzhen Li, Qingxiao Sun +8

cs.CV2020

Forward and Backward Information Retention for Accurate Binary Neural Networks

Haotong Qin, Ruihao Gong, Xianglong Liu +4

cs.LG2023

SysNoise: Exploring and Benchmarking Training-Deployment System Inconsistency

Yan Wang, Yuhang Li, Ruihao Gong +8

cs.CV2021

Diversifying Sample Generation for Accurate Data-Free Quantization

Xiangguo Zhang, Haotong Qin, Yifu Ding +6

cs.CV2022

Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm

Yangguang Li, Feng Liang, Lichen Zhao +5

cs.CV2023

QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization

Xiuying Wei, Ruihao Gong, Yuhang Li +2

cs.LG2020

Efficient Bitwidth Search for Practical Mixed Precision Neural Network

Yuhang Li, Wei Wang, Haoli Bai +3

cs.LG2021

BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction

Yuhang Li, Ruihao Gong, Xu Tan +6

cs.CV2022

Improving Long-tailed Object Detection with Image-Level Supervision by Multi-Task Collaborative Learning

Bo Li, Yongqiang Yao, Jingru Tan +4

cs.CV2022

RobustART: Benchmarking Robustness on Architecture Design and Training Techniques

Shiyu Tang, Ruihao Gong, Yan Wang +9

cs.CV2021

Incorporating Convolution Designs into Visual Transformers

Kun Yuan, Shaopeng Guo, Ziwei Liu +3

cs.CV2022

INTERN: A New Learning Paradigm Towards General Vision

Jing Shao, Siyu Chen, Yangguang Li +24

cs.CV2019

Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks

Ruihao Gong, Xianglong Liu, Shenghu Jiang +5

cs.LG2019

Towards Unified INT8 Training for Convolutional Neural Network

Feng Zhu, Ruihao Gong, Fengwei Yu +5

cs.CV2023

UniHCP: A Unified Model for Human-Centric Perceptions

Yuanzheng Ci, Yizhou Wang, Meilin Chen +7

cs.LG2022

MQBench: Towards Reproducible and Deployable Model Quantization Benchmark

Yuhang Li, Mingzhu Shen, Jian Ma +6

cs.CV2021

Once Quantization-Aware Training: High Performance Extremely Low-bit Architecture Search

Mingzhu Shen, Feng Liang, Ruihao Gong +6

cs.CV2016

POI: Multiple Object Tracking with High Performance Detection and Appearance Feature

Fengwei Yu, Wenbo Li, Quanquan Li +3

cs.LG2023

Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models

Xiuying Wei, Yunchen Zhang, Xiangguo Zhang +5

cs.CV2023

Towards Frame Rate Agnostic Multi-Object Tracking

Weitao Feng, Lei Bai, Yongqiang Yao +2

cs.CV2022

Equalized Focal Loss for Dense Long-Tailed Object Detection

Bo Li, Yongqiang Yao, Jingru Tan +4