State-of-the-art Models for Object Detection in Various Fields of Application

1 November 2022

Papers citing "State-of-the-art Models for Object Detection in Various Fields of Application"

4 / 4 papers shown

Title
Contrastive Learning Rivals Masked Image Modeling in Fine-tuning via Feature Distillation Yixuan Wei Han Hu Zhenda Xie Zheng-Wei Zhang Yue Cao Jianmin Bao Dong Chen B. Guo CLIP 83 124 0 27 May 2022
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation Golnaz Ghiasi Yin Cui A. Srinivas Rui Qian Tsung-Yi Lin E. D. Cubuk Quoc V. Le Barret Zoph ISeg 223 962 0 13 Dec 2020
Semantic Understanding of Scenes through the ADE20K Dataset Bolei Zhou Hang Zhao Xavier Puig Tete Xiao Sanja Fidler Adela Barriuso Antonio Torralba SSeg 249 1,821 0 18 Aug 2016
COCO-Text: Dataset and Benchmark for Text Detection and Recognition in Natural Images Andreas Veit Tomas Matera Lukás Neumann Jirí Matas Serge J. Belongie 180 515 0 26 Jan 2016