Object Detection from Scratch with Deep Supervision

Object Detection from Scratch with Deep Supervision

25 September 2018

Papers citing "Object Detection from Scratch with Deep Supervision"

8 / 8 papers shown

Title
YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors Chien-Yao Wang Alexey Bochkovskiy H. Liao ObjD 27 6,222 0 06 Jul 2022
A Comprehensive Review on Deep Supervision: Theories and Applications Renjie Li Xinyi Wang Guangtai Huang Wenli Yang Kaining Zhang Xiaodong Gu Son N. Tran Saurabh Garg Jane Elizabeth Alty Quan-wei Bai CLIP 13 11 0 06 Jul 2022
MNet: Rethinking 2D/3D Networks for Anisotropic Medical Image Segmentation Zhangfu Dong Yuting He Xiaoming Qi Yang Chen H. Shu J. Coatrieux Guanyu Yang Shuo Li 11 43 0 10 May 2022
X-Learner: Learning Cross Sources and Tasks for Universal Visual Representation Yinan He Gengshi Huang Siyu Chen Jianing Teng Wang Kun Zhen-fei Yin Lu Sheng Ziwei Liu Yu Qiao Jing Shao VLM SSL ViT 37 7 0 16 Mar 2022
AWSnet: An Auto-weighted Supervision Attention Network for Myocardial Scar and Edema Segmentation in Multi-sequence Cardiac Magnetic Resonance Images Kaini Wang Xin Yang Juzheng Miao Lei Li Jing Yao Ping Zhou Wufeng Xue Guangquan Zhou Xiahai Zhuang Dong Ni 23 41 0 14 Jan 2022
Poly-YOLO: higher speed, more precise detection and instance segmentation for YOLOv3 P. Hurtík Vojtech Molek Jan Hula M. Vajgl Pavel Vlasánek T. Nejezchleba SSeg ObjD 23 145 0 27 May 2020
Asynchronous Federated Learning with Differential Privacy for Edge Intelligence Yanan Li Shusen Yang Xuebin Ren Cong Zhao FedML 14 33 0 17 Dec 2019
MoBiNet: A Mobile Binary Network for Image Classification Hai T. Phan Dang T. Huynh Yihui He Marios Savvides Zhiqiang Shen MQ 30 48 0 29 Jul 2019