activity
20192022
most citedYOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

1.8k citations · 1.8k across the 6 of their papers we have counts for

collaborators
Showing cs.CVShow all

7 papers · 1 filter

cs.CV2022

Uncertainty-Aware Image Captioning

Zhengcong Fei, Mingyuan Fan, Li Zhu +3

It is well believed that the higher uncertainty in a word of the caption, the more inter-correlated context information is required to determine it. However, current image captioni…

cs.CV20221 cited

Meta-Ensemble Parameter Learning

Zhengcong Fei, Shuman Tian, Junshi Huang +2

Ensemble of machine learning models yields improved performance as well as robustness. However, their memory requirements and inference costs can be prohibitively high. Knowledge d…

cs.CV20221.8k cited

YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

Chuyi Li, Lulu Li, Hongliang Jiang +15

For years, the YOLO series has been the de facto industry-level standard for efficient object detection. The YOLO community has prospered overwhelmingly to enrich its use in a mult…

cs.CV20212 cited

Structure Guided Lane Detection

Jinming Su, Chao Chen, Ke Zhang +3

Recently, lane detection has made great progress with the rapid development of deep neural networks and autonomous driving. However, there exist three mainly problems including cha…

cs.CV2021

Rethinking BiSeNet For Real-time Semantic Segmentation

Mingyuan Fan, Shenqi Lai, Junshi Huang +4

BiSeNet has been proved to be a popular two-stream network for real-time segmentation. However, its principle of adding an extra path to encode spatial information is time-consumin…

cs.CV202016 cited

ISIA Food-500: A Dataset for Large-Scale Food Recognition via Stacked Global-Local Attention Network

Weiqing Min, Linhu Liu, Zhiling Wang +4

Food recognition has received more and more attention in the multimedia community for its various real-world applications, such as diet management and self-service restaurants. A l…