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We introduce the Unity Perception package which aims to simplify and accelerate the process of generating synthetic datasets for computer vision tasks by offering an easy-to-use and highly customizable toolset.
M. Denninger, M. Sundermeyer, D. Winkelbauer, Y. Zidan, D. Olefir, M. Elbadrawy, A. Lodhi, and H. Katam, “BlenderProc,” · 1911
Earlier work this paper cites.
M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman, “The Pascal Visual Object Classes (VOC) Challenge,”
2010
Earlier work this paper cites.
N. Silberman, D. Hoiem, P. Kohli, and R. Fergus, “Indoor Segmentation and Support Inference from RGBD Images,” in
2012
Earlier work this paper cites.
B. Shen, F. Xia, C. Li, R. Martín-Martín, L. Fan, G. Wang, S. Buch, C. D’Arpino, S. Srivastava, L. P. Tchapmi, M. E. Tchapmi, K. Vainio, L. Fei-Fei, and S. Savarese, “iGibson, a Simulation Environment for Interactive Tasks in Large Realistic Scenes,” · 2012
Earlier work this paper cites.
T.-Y. Lin, M. Maire, S. Belongie, L. Bourdev, R. Girshick, J. Hays, P. Perona, D. Ramanan, C. L. Zitnick, and P. Dollár, “Microsoft COCO: Common Objects in Context,” in
2014
Earlier work this paper cites.
J. Long, E. Shelhamer, and T. Darrell, “Fully Convolutional Networks for Semantic Segmentation,” in
2015
Earlier work this paper cites.
O. Ronneberger, P. Fischer, and T. Brox, “U-Net: Convolutional Networks for Biomedical Image Segmentation,” in
2015
Earlier work this paper cites.
S. Song, S. P. Lichtenberg, and J. Xiao, “SUN RGB-D: A RGB-D scene understanding benchmark suite,” in
2015
Earlier work this paper cites.
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, A. C. Berg, and L. Fei-Fei, “ImageNet Large Scale Visual Recognition Challenge,”
2015
Earlier work this paper cites.
D. P. Kingma and J. Ba, “Adam: A Method for Stochastic Optimization,” in
2015
Earlier work this paper cites.
J. Redmon, S. Divvala, R. Girshick, and A. Farhadi, “You Only Look Once: Unified, Real-Time Object Detection,” in
2016
Earlier work this paper cites.
W. Liu, D. Anguelov, D. Erhan, C. Szegedy, S. Reed, C.-Y. Fu, and A. C. Berg, “SSD: Single Shot MultiBox Detector,” in
2016
Earlier work this paper cites.
K. He, X. Zhang, S. Ren, and J. Sun, “Deep Residual Learning for Image Recognition,” in
2016
Earlier work this paper cites.
G. Ros, L. Sellart, J. Materzynska, D. Vazquez, and A. M. Lopez, “The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes,” June 2016
2016
Cited alongside, same era.
T.-Y. Lin, P. Goyal, R. Girshick, K. He, and P. Dollár, “Focal Loss for Dense Object Detection,” in
2017
Cited alongside, same era.
S. Ren, K. He, R. Girshick, and J. Sun, “Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks,”
2017
Cited alongside, same era.
K. He, G. Gkioxari, P. Dollár, and R. Girshick, “Mask R-CNN,” in
2017
Cited alongside, same era.
L.-C. Chen, G. Papandreou, I. Kokkinos, K. Murphy, and A. L. Yuille, “DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs,”
2017
Cited alongside, same era.
IT Governance Publishing, 2019
P. BUKATY, · 2019
Later among the works it cites.
S. Hinterstoisser, O. Pauly, H. Heibel, M. Marek, and M. Bokeloh, “An Annotation Saved is an Annotation Earned: Using Fully Synthetic Training for Object Instance Detection,” in
2019
Later among the works it cites.
OpenAI, I. Akkaya, M. Andrychowicz, M. Chociej, M. Litwin, B. McGrew, A. Petron, A. Paino, M. Plappert, G. Powell, R. Ribas, J. Schneider, N. Tezak, J. Tworek, P. Welinder, L. Weng, Q. Yuan, W. Zaremba, and L. Zhang, “Solving Rubik’s Cube with a Robot Hand,” Oct. 2019
2019
Later among the works it cites.
2019
Later among the works it cites.
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L.-C. Chen, G. Papandreou, F. Schroff, and H. Adam, “Rethinking Atrous Convolution for Semantic Image Segmentation,” in
2017
Cited alongside, same era.
Springer Publishing Company, Incorporated, 1st ed., 2017
P. Voigt and A. v. d. Bussche, · 2017
Cited alongside, same era.
Conference Name: IEEE Transactions on Pattern Analysis and Machine Intelligence
V. Badrinarayanan, A. Kendall, and R. Cipolla, “SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation,” · 2017
Cited alongside, same era.
A. Dosovitskiy, G. Ros, F. Codevilla, A. Lopez, and V. Koltun, “CARLA: An Open Urban Driving Simulator,” in
2017
Cited alongside, same era.
J. Tobin, L. Biewald, R. Duan, M. Andrychowicz, A. Handa, V. Kumar, B. McGrew, J. Schneider, P. Welinder, W. Zaremba, and P. Abbeel, “Domain Randomization and Generative Models for Robotic Grasping,” in
2018
Cited alongside, same era.
Y. Lin, S. Han, H. Mao, Y. Wang, and W. J. Dally, “Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training,” in
2018
Cited alongside, same era.
W. Kuo, A. Angelova, J. Malik, and T.-Y. Lin, “ShapeMask: Learning to Segment Novel Objects by Refining Shape Priors,” in
2019
Cited alongside, same era.
2019
Later among the works it cites.
“NVIDIA Isaac Sim,” Dec. 2019
2019
Later among the works it cites.
M. Klasson, C. Zhang, and H. Kjellström, “A Hierarchical Grocery Store Image Dataset with Visual and Semantic Labels,” in
2019
Later among the works it cites.
A. Dutta and A. Zisserman, “The VIA Annotation Software for Images, Audio and Video,” in
2019
Later among the works it cites.
A. Paszke, S. Gross, F. Massa, A. Lerer, J. Bradbury, G. Chanan, T. Killeen, Z. Lin, N. Gimelshein, L. Antiga, A. Desmaison, A. Kopf, E. Yang, Z. DeVito, M. Raison, A. Tejani, S. Chilamkurthy, B. Steiner, L. Fang, J. Bai, and S. Chintala, “PyTorch: An Imperative Style, High-Performance Deep Learning Library,” in
2019
Later among the works it cites.
M. Tan, R. Pang, and Q. V. Le, “EfficientDet: Scalable and Efficient Object Detection,” in
2020
Later among the works it cites.
H. Caesar, V. Bankiti, A. H. Lang, S. Vora, V. E. Liong, Q. Xu, A. Krishnan, Y. Pan, G. Baldan, and O. Beijbom, “nuScenes: A Multimodal Dataset for Autonomous Driving,” in
2020
Later among the works it cites.
Unity, “Unity Technologies,” 2021
2021
Closest in time.
N. Morrical, J. Tremblay, Y. Lin, S. Tyree, S. Birchfield, V. Pascucci, and I. Wald, “NViSII: A Scriptable Tool for Photorealistic Image Generation,” p. 9, 2021
2021
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