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Group Equivariant Convolution (GConv) empowers models to explore underlying symmetry in data, improving performance.
Symmetry
Hermann Weyl · 1952
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Curie’s principle
Alan F Chalmers · 1970
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The role of symmetry in fundamental physics
David J Gross · 1996
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Revisiting spatial invariance with low-rank local connectivity
Gamaleldin F. Elsayed, Prajit Ramachandran, Jonathon Shlens, and Simon Kornblith · 2002
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Curie’s principle and spontaneous symmetry breaking
John Earman · 2004
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Rich feature hierarchies for accurate object detection and semantic segmentation
Ross Girshick, Jeff Donahue, Trevor Darrell, and Jitendra Malik · 2014
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Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2015
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Ssd: Single shot multibox detector
Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang Fu, and Alexander C Berg · 2016
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You only look once: Unified, real-time object detection
Joseph Redmon, Santosh Divvala, Ross Girshick, and Ali Farhadi · 2016
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Sergey Zagoruyko and Nikos Komodakis · 2016
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Densely connected convolutional networks
Gao Huang, Zhuang Liu, Laurens Van Der Maaten, and Kilian Q Weinberger · 2017
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Rotation equivariant vector field networks
Diego Marcos, Michele Volpi, Nikos Komodakis, and Devis Tuia · 2017
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Aggregated residual transformations for deep neural networks
Saining Xie, Ross Girshick, Piotr Dollár, Zhuowen Tu, and Kaiming He · 2017
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Deep rotation equivariant network
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Res2net: A new multi-scale backbone architecture
Shang-Hua Gao, Ming-Ming Cheng, Kai Zhao, Xin-Yu Zhang, Ming-Hsuan Yang, and Philip Torr · 2019
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End-to-end object detection with transformers
Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, and Sergey Zagoruyko · 2020
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Generalizing convolutional neural networks for equivariance to lie groups on arbitrary continuous data
Marc Finzi, Samuel Stanton, Pavel Izmailov, and Andrew Gordon Wilson · 2020
2d and 3d object detection algorithms from images: A survey
Wei Chen, Yan Li, Zijian Tian, and Fan Zhang · 2023
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Geometric deep learning and equivariant neural networks
Jan E Gerken, Jimmy Aronsson, Oscar Carlsson, Hampus Linander, Fredrik Ohlsson, Christoffer Petersson, and Daniel Persson · 2023
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Yolo-v1 to yolo-v8, the rise of yolo and its complementary nature toward digital manufacturing and industrial defect detection
Muhammad Hussain · 2023
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Ultralytics YOLO, January 2023
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Symmetry breaking and equivariant neural networks
Sékou-Oumar Kaba and Siamak Ravanbakhsh · 2023
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A comprehensive review of object detection with deep learning
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Object-centric learning with slot attention
Francesco Locatello, Dirk Weissenborn, Thomas Unterthiner, Aravindh Mahendran, Georg Heigold, Jakob Uszkoreit, Alexey Dosovitskiy, and Thomas Kipf · 2020
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Geometric deep learning: Grids, groups, graphs, geodesics, and gauges
Michael M Bronstein, Joan Bruna, Taco Cohen, and Petar Veličković · 2021
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Redet: A rotation-equivariant detector for aerial object detection
Jiaming Han, Jian Ding, Nan Xue, and Gui-Song Xia · 2021
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Layercam: Exploring hierarchical class activation maps for localization
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Finding symmetry breaking order parameters with euclidean neural networks
Tess E Smidt, Mario Geiger, and Benjamin Kurt Miller · 2021
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Pyramid vision transformer: A versatile backbone for dense prediction without convolutions
Wenhai Wang, Enze Xie, Xiang Li, Deng-Ping Fan, Kaitao Song, Ding Liang, Tong Lu, Ping Luo, and Ling Shao · 2021
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Ravpreet Kaur and Sarbjeet Singh · 2023
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A comprehensive review of yolo architectures in computer vision: From yolov1 to yolov8 and yolo-nas
Juan Terven, Diana-Margarita Córdova-Esparza, and Julio-Alejandro Romero-González · 2023
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Dueqnet: dual-equivariance network in outdoor 3d object detection for autonomous driving
Xihao Wang, Jiaming Lei, Hai Lan, Arafat Al-Jawari, and Xian Wei · 2023
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Object detection in 20 years: A survey
Zhengxia Zou, Keyan Chen, Zhenwei Shi, Yuhong Guo, and Jieping Ye · 2023
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Approximately equivariant graph networks
Ningyuan Huang, Ron Levie, and Soledad Villar · 2024
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Fred: Towards a full rotation-equivariance in aerial image object detection
Chanho Lee, Jinsu Son, Hyounguk Shon, Yunho Jeon, and Junmo Kim · 2024
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Equivariant symmetry breaking sets
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