StuffNet: Using 'Stuff' to Improve Object Detection

19 October 2016

Papers citing "StuffNet: Using 'Stuff' to Improve Object Detection"

10 / 10 papers shown

Title
Deep Learning based Computer Vision Methods for Complex Traffic Environments Perception: A Review Talha Azfar Jinlong Li Hongkai Yu R. Cheu Yisheng Lv Ruimin Ke 43 21 0 09 Nov 2022
Deep Learning and Computer Vision Techniques for Microcirculation Analysis: A Review Maged Abdalla Helmy Abdou T. Truong E. Jul Paulo Ferreira 55 8 0 11 May 2022
A Survey on Deep Domain Adaptation and Tiny Object Detection Challenges, Techniques and Datasets Muhammed Muzammul Xi Li ObjD 26 11 0 16 Jul 2021
Object Detection in the Context of Mobile Augmented Reality Xiang Li Yuan Tian Fuyao Zhang Shuxue Quan Yi Tian Xu 48 25 0 15 Aug 2020
Object Detection in 20 Years: A Survey Zhengxia Zou Keyan Chen Zhenwei Shi Yuhong Guo Jieping Ye VLM ObjD AI4TS 47 2,304 0 13 May 2019
Thinking Outside the Box: Generation of Unconstrained 3D Room Layouts Henry Howard-Jenkins Shuda Li V. Prisacariu 3DV 19 16 0 08 May 2019
Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks Shivang Agarwal Jean Ogier du Terrail F. Jurie ObjD 34 123 0 10 Sep 2018
Object Detection with Deep Learning: A Review Zhong-Qiu Zhao Peng Zheng Shou-tao Xu Xindong Wu ObjD 57 3,965 0 15 Jul 2018
Driving Scene Perception Network: Real-time Joint Detection, Depth Estimation and Semantic Segmentation Liangfu Chen Ze Yang J. Ma Zheng Luo 37 47 0 10 Mar 2018
Deep Scene Text Detection with Connected Component Proposals F. Jiang Zhihui Hao Xinran Liu 16 11 0 17 Aug 2017