Improving Object Detector Training on Synthetic Data by Starting With a Strong Baseline Methodology

30 May 2024

Papers citing "Improving Object Detector Training on Synthetic Data by Starting With a Strong Baseline Methodology"

6 / 6 papers shown

Title
Intriguing Properties of Vision Transformers Muzammal Naseer Kanchana Ranasinghe Salman Khan Munawar Hayat F. Khan Ming-Hsuan Yang ViT 248 618 0 21 May 2021
Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation Qin Wang Dengxin Dai Lukas Hoyer Luc Van Gool Olga Fink OOD MDE 45 138 0 28 Apr 2021
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
Bag of Tricks for Image Classification with Convolutional Neural Networks Tong He Zhi-Li Zhang Hang Zhang Zhongyue Zhang Junyuan Xie Mu Li 216 1,391 0 04 Dec 2018
Feature Pyramid Networks for Object Detection Tsung-Yi Lin Piotr Dollár Ross B. Girshick Kaiming He Bharath Hariharan Serge J. Belongie ObjD 166 21,643 0 09 Dec 2016
You Only Look Once: Unified, Real-Time Object Detection Joseph Redmon S. Divvala Ross B. Girshick Ali Farhadi ObjD 281 36,178 0 08 Jun 2015