On Pre-Trained Image Features and Synthetic Images for Deep Learning

29 October 2017

Papers citing "On Pre-Trained Image Features and Synthetic Images for Deep Learning"

41 / 41 papers shown

Title
Enhancing Vision-Language Compositional Understanding with Multimodal Synthetic Data Haoxin Li Boyang Li CoGe 73 0 0 03 Mar 2025
Paint Outside the Box: Synthesizing and Selecting Training Data for Visual Grounding Zilin Du Haoxin Li Jianfei Yu Boyang Li 194 0 0 01 Dec 2024
A comparative analysis of deep learning models for lung segmentation on X-ray images Weronika Hryniewska-Guzik Jakub Bilski Bartosz Chrostowski Jakub Drak Sbahi P. Biecek 39 3 0 09 Apr 2024
Harnessing Machine Learning for Discerning AI-Generated Synthetic Images Yuyang Wang Yizhi Hao Amando Xu Cong 19 3 0 14 Jan 2024
Training on Synthetic Data Beats Real Data in Multimodal Relation Extraction Zilin Du Haoxin Li Xu Guo Boyang Li 35 1 0 05 Dec 2023
MosaicFusion: Diffusion Models as Data Augmenters for Large Vocabulary Instance Segmentation Jiahao Xie Wei Li Xiangtai Li Ziwei Liu Yew-Soon Ong Chen Change Loy DiffM VLM 72 35 0 22 Sep 2023
HaDR: Applying Domain Randomization for Generating Synthetic Multimodal Dataset for Hand Instance Segmentation in Cluttered Industrial Environments Stefan Grushko Alevs Vysocký J. Chlebek Petr Prokop 26 2 0 12 Apr 2023
HazardNet: Road Debris Detection by Augmentation of Synthetic Models Tae Eun Choe Jane Wu Xiao-Hui Lin Karen Kwon Min-Gyu Park 38 3 0 14 Mar 2023
BOP Challenge 2022 on Detection, Segmentation and Pose Estimation of Specific Rigid Objects M. Sundermeyer Tomás Hodan Yann Labbé Gu Wang Eric Brachmann Bertram Drost Carsten Rother Juan E. Sala Matas 3DPC 28 76 0 25 Feb 2023
FSID: Fully Synthetic Image Denoising via Procedural Scene Generation Gyeongmin Choe Beibei Du Seonghyeon Nam Xiaoyu Xiang Bo Zhu Rakesh Ranjan DiffM 24 0 0 07 Dec 2022
ZegCLIP: Towards Adapting CLIP for Zero-shot Semantic Segmentation Ziqi Zhou Bowen Zhang Yinjie Lei Lingqiao Liu Yifan Liu VLM 38 168 0 07 Dec 2022
Tree Detection and Diameter Estimation Based on Deep Learning Vincent Grondin Jean-Michel Fortin F. Pomerleau Philippe Giguère 3DPC 38 29 0 31 Oct 2022
Photo-realistic Neural Domain Randomization Sergey Zakharov Rares Andrei Ambrus Vitor Campagnolo Guizilini Wadim Kehl Adrien Gaidon 33 9 0 23 Oct 2022
COPE: End-to-end trainable Constant Runtime Object Pose Estimation S. Thalhammer T. Patten Markus Vincze 3DPC 28 14 0 18 Aug 2022
Object Detection Using Sim2Real Domain Randomization for Robotic Applications Dániel Horváth Gábor Erdös Z. Istenes Tomáš Horváth S. Földi 35 41 0 08 Aug 2022
EgoEnv: Human-centric environment representations from egocentric video Tushar Nagarajan Santhosh Kumar Ramakrishnan Ruta Desai James M. Hillis Kristen Grauman EgoV 38 19 0 22 Jul 2022
DPODv2: Dense Correspondence-Based 6 DoF Pose Estimation I. Shugurov Sergey Zakharov Slobodan Ilic 18 56 0 06 Jul 2022
DALL-E for Detection: Language-driven Compositional Image Synthesis for Object Detection Yunhao Ge Lyne Tchapmi Brian Nlong Zhao Neel Joshi Laurent Itti Vibhav Vineet DiffM ObjD 28 16 0 20 Jun 2022
Generative Adversarial Networks for Image Super-Resolution: A Survey Chunwei Tian Xuanyu Zhang Chun-Wei Lin W. Zuo Yanning Zhang Chia-Wen Lin GAN 44 45 0 28 Apr 2022
Knock, knock. Who's there? -- Identifying football player jersey numbers with synthetic data D. Bhargavi Erika Pelaez Coyotl Sia Gholami 37 16 0 01 Mar 2022
Learning from scarce information: using synthetic data to classify Roman fine ware pottery Santos J. Núñez Jareño Daniël P. van Helden Evgeny M. Mirkes I. Tyukin Penelope Allison 37 5 0 03 Jul 2021
Deep Regression on Manifolds: A 3D Rotation Case Study Romain Brégier 3DH 27 50 0 30 Mar 2021
Learning to Segment Human Body Parts with Synthetically Trained Deep Convolutional Networks Alessandro Saviolo Matteo Bonotto D. Evangelista Marco Imperoli Jacopo Lazzaro Emanuele Menegatti Alberto Pretto 3DH 21 3 0 02 Feb 2021
Fast robust peg-in-hole insertion with continuous visual servoing R. Haugaard Jeppe Langaa Christoffer Sloth A. Buch 19 31 0 12 Nov 2020
BOP Challenge 2020 on 6D Object Localization Tomás Hodan M. Sundermeyer Bertram Drost Yann Labbé Eric Brachmann Frank Michel Carsten Rother Jirí Matas 3DPC 26 261 0 15 Sep 2020
Pose Proposal Critic: Robust Pose Refinement by Learning Reprojection Errors Lucas Brynte Fredrik Kahl 3DV 36 6 0 13 May 2020
EPOS: Estimating 6D Pose of Objects with Symmetries Tomás Hodan Dániel Baráth Jirí Matas 25 230 0 01 Apr 2020
Scalable learning for bridging the species gap in image-based plant phenotyping Daniel Ward Peyman Moghadam 22 29 0 24 Mar 2020
HandAugment: A Simple Data Augmentation Method for Depth-Based 3D Hand Pose Estimation Zhaohui Zhang Shipeng Xie Mingxiu Chen Haichao Zhu 3DH 16 23 0 03 Jan 2020
Metamorphic Testing for Object Detection Systems Shuai Wang Z. Su 34 23 0 19 Dec 2019
Synthetic Data for Deep Learning Sergey I. Nikolenko 46 348 0 25 Sep 2019
DPOD: 6D Pose Object Detector and Refiner Sergey Zakharov I. Shugurov Slobodan Ilic 3DPC 18 421 0 28 Feb 2019
Structured Domain Randomization: Bridging the Reality Gap by Context-Aware Synthetic Data Aayush Prakash Shaad Boochoon M. Brophy David Acuna Eric Cameracci Gavriel State Omer Shapira Stan Birchfield 16 264 0 23 Oct 2018
Deep Model-Based 6D Pose Refinement in RGB Fabian Manhardt Wadim Kehl Nassir Navab Federico Tombari 3DH 25 167 0 07 Oct 2018
Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks Shivang Agarwal Jean Ogier du Terrail F. Jurie ObjD 24 123 0 10 Sep 2018
Deep Leaf Segmentation Using Synthetic Data Daniel Ward Peyman Moghadam N. Hudson 24 108 0 28 Jul 2018
A Region-based Gauss-Newton Approach to Real-Time Monocular Multiple Object Tracking H. Tjaden Ulrich Schwanecke E. Schömer Daniel Cremers 28 84 0 05 Jul 2018
Learning Object Localization and 6D Pose Estimation from Simulation and Weakly Labeled Real Images Jean-Philippe Mercier Chaitanya Mitash Philippe Giguère Abdeslam Boularias 3DPC 19 10 0 18 Jun 2018
Driving Policy Transfer via Modularity and Abstraction Matthias Muller Alexey Dosovitskiy Guohao Li V. Koltun 37 223 0 25 Apr 2018
Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization Jonathan Tremblay Aayush Prakash David Acuna M. Brophy Varun Jampani Cem Anil Thang To Eric Cameracci Shaad Boochoon Stan Birchfield OOD 24 807 0 18 Apr 2018
Multi-Task Domain Adaptation for Deep Learning of Instance Grasping from Simulation Kuan Fang Yunfei Bai Stefan Hinterstoißer Silvio Savarese Mrinal Kalakrishnan OOD 28 116 0 17 Oct 2017