1 Durand, Thibaut, "Wildcat: Weakly supervised learning of deep convnets for image classification, pointwise localization and segmentation" 2017
2 Pinheiro, Pedro O., "Weakly supervised semantic segmentation with convolutional networks" 2 (2): 2015
3 Zhou, Yanzhao, "Weakly supervised instance segmentation using class peak response" 1 : 3791-3800, 2018
4 권동진, "The Image Segmentation Method using Adaptive Watershed Algorithm for Region Boundary Preservation" 한국인터넷방송통신학회 11 (11): 39-46, 2019
5 Kolesnikov, Alexander, "Seed, expand and constrain: Three principles for weakly-supervised image segmentation" Springer 695-711, 2016
6 Hassan Ramchoun, "Multilayer Perceptron: Architecture Optimization and Training" Universidad Internacional de La Rioja 4 (4): 26-30, 2016
7 Zhou, Bolei, "Learning deep features for discriminative localization" 1 : 2921-2929, 2016
8 Deng, Jia, "Imagenet: A large-scale hierarchical image database" 1 : 248-255, 2009
9 Neubeck, Alexander, "Efficient non-maximum suppression" 3 : 850-855, 2006
10 He, Kaiming, "Deep residual learning for image recognition" 1 : 770-778, 2016
1 Durand, Thibaut, "Wildcat: Weakly supervised learning of deep convnets for image classification, pointwise localization and segmentation" 2017
2 Pinheiro, Pedro O., "Weakly supervised semantic segmentation with convolutional networks" 2 (2): 2015
3 Zhou, Yanzhao, "Weakly supervised instance segmentation using class peak response" 1 : 3791-3800, 2018
4 권동진, "The Image Segmentation Method using Adaptive Watershed Algorithm for Region Boundary Preservation" 한국인터넷방송통신학회 11 (11): 39-46, 2019
5 Kolesnikov, Alexander, "Seed, expand and constrain: Three principles for weakly-supervised image segmentation" Springer 695-711, 2016
6 Hassan Ramchoun, "Multilayer Perceptron: Architecture Optimization and Training" Universidad Internacional de La Rioja 4 (4): 26-30, 2016
7 Zhou, Bolei, "Learning deep features for discriminative localization" 1 : 2921-2929, 2016
8 Deng, Jia, "Imagenet: A large-scale hierarchical image database" 1 : 248-255, 2009
9 Neubeck, Alexander, "Efficient non-maximum suppression" 3 : 850-855, 2006
10 He, Kaiming, "Deep residual learning for image recognition" 1 : 770-778, 2016
11 Roy, Anirban, "Combining bottom-up, top-down, and smoothness cues for weakly supervised image segmentation" 2017
12 Saleh, Fatemehsadat, "Built-in foreground/background prior for weakly-supervised semantic segmentation" Springer 413-432, 2016
13 O'Shea, Keiron, "An introduction to convolutional neural networks"
14 Pan, Sinno Jialin, "A survey on transfer learning" 22 : 1345-1359, 2010