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Weakly supervised object localization (WSOL) remains challenging when learning object localization models from image category labels.
Collecting highly parallel data for paraphrase evaluation
David L. Chen and William B. Dolan · 2011
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The caltech-ucsd birds-200-2011 dataset
C. Wah, S. Branson, P. Welinder, P. Perona, and S. Belongie · 2011
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A thousand frames in just a few words: Lingual description of videos through latent topics and sparse object stitching
Pradipto Das, Chenliang Xu, Richard F. Doell, and Jason J. Corso · 2013
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Grounding action descriptions in videos
Michaela Regneri, Marcus Rohrbach, Dominikus Wetzel, Stefan Thater, Bernt Schiele, and Manfred Pinkal · 2013
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Microsoft COCO: common objects in context
Tsung-Yi Lin, Michael Maire, Serge J. Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C. Lawrence Zitnick · 2014
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Imagenet large scale visual recognition challenge
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael S. Bernstein, Alexander C. Berg, and Li Fei-Fei · 2015
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The cityscapes dataset for semantic urban scene understanding
Marius Cordts, Mohamed Omran, Sebastian Ramos, Timo Rehfeld, Markus Enzweiler, Rodrigo Benenson, Uwe Franke, Stefan Roth, and Bernt Schiele · 2016
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Unsupervised representation learning with deep convolutional generative adversarial networks
Alec Radford, Luke Metz, and Soumith Chintala · 2016
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MSR-VTT: A large video description dataset for bridging video and language
Jun Xu, Tao Mei, Ting Yao, and Yong Rui · 2016
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Learning deep features for discriminative localization
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Martín Arjovsky, Soumith Chintala, and Léon Bottou · 2017
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Improved training of wasserstein gans
Ishaan Gulrajani, Faruk Ahmed, Martín Arjovsky, Vincent Dumoulin, and Aaron C. Courville · 2017
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Image-to-image translation with conditional adversarial networks
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A. Efros · 2017
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Least squares generative adversarial networks
Xudong Mao, Qing Li, Haoran Xie, Raymond Y. K. Lau, Zhen Wang, and Stephen Paul Smolley · 2017
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Hide-and-seek: Forcing a network to be meticulous for weakly-supervised object and action localization
Krishna Kumar Singh and Yong Jae Lee · 2017
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Progressive growing of gans for improved quality, stability, and variation
Tero Karras, Timo Aila, Samuli Laine, and Jaakko Lehtinen · 2018
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Spectral normalization for generative adversarial networks
Takeru Miyato, Toshiki Kataoka, Masanori Koyama, and Yuichi Yoshida · 2018
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Adversarial complementary learning for weakly supervised object localization
Xiaolin Zhang, Yunchao Wei, Jiashi Feng, Yi Yang, and Thomas S. Huang · 2018
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Self-produced guidance for weakly-supervised object localization
Xiaolin Zhang, Yunchao Wei, Guoliang Kang, Yi Yang, and Thomas S. Huang · 2018
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Large scale GAN training for high fidelity natural image synthesis
Andrew Brock, Jeff Donahue, and Karen Simonyan · 2019
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Attention-based dropout layer for weakly supervised object localization
Junsuk Choe and Hyunjung Shim · 2019
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BERT: pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
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A style-based generator architecture for generative adversarial networks
Tero Karras, Samuli Laine, and Timo Aila · 2019
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Howto100m: Learning a text-video embedding by watching hundred million narrated video clips
Antoine Miech, Dimitri Zhukov, Jean-Baptiste Alayrac, Makarand Tapaswi, Ivan Laptev, and Josef Sivic · 2019
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Min-entropy latent model for weakly supervised object detection
Fang Wan, Pengxu Wei, Zhenjun Han, Jianbin Jiao, and Qixiang Ye · 2019
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Danet: Divergent activation for weakly supervised object localization
Haolan Xue, Chang Liu, Fang Wan, Jianbin Jiao, Xiangyang Ji, and Qixiang Ye · 2019
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Cutmix: Regularization strategy to train strong classifiers with localizable features
Sangdoo Yun, Dongyoon Han, Sanghyuk Chun, Seong Joon Oh, Youngjoon Yoo, and Junsuk Choe · 2019
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Self-attention generative adversarial networks
Han Zhang, Ian J. Goodfellow, Dimitris N. Metaxas, and Augustus Odena · 2019
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Rethinking class activation mapping for weakly supervised object localization
Wonho Bae, Junhyug Noh, and Gunhee Kim · 2020
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High-quality proposals for weakly supervised object detection
Gong Cheng, Junyu Yang, Decheng Gao, Lei Guo, and Junwei Han · 2020
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Generative adversarial networks
Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron C. Courville, and Yoshua Bengio · 2020
Online refinement of low-level feature based activation map for weakly supervised object localization
Jinheng Xie, Cheng Luo, Xiangping Zhu, Ziqi Jin, Weizeng Lu, and Linlin Shen · 2021
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Complementary patch for weakly supervised semantic segmentation
Fei Zhang, Chaochen Gu, Chenyue Zhang, and Yuchao Dai · 2021
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Weakly supervised object localization via transformer with implicit spatial calibration
Haotian Bai, Ruimao Zhang, Jiong Wang, and Xiang Wan · 2022
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Label-efficient semantic segmentation with diffusion models
Dmitry Baranchuk, Andrey Voynov, Ivan Rubachev, Valentin Khrulkov, and Artem Babenko · 2022
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Diffusiondet: Diffusion model for object detection
Shoufa Chen, Peize Sun, Yibing Song, and Ping Luo · 2022
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Denoising diffusion probabilistic models
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Geometry constrained weakly supervised object localization
Weizeng Lu, Xi Jia, Weicheng Xie, Linlin Shen, Yicong Zhou, and Jinming Duan · 2020
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Erasing integrated learning: A simple yet effective approach for weakly supervised object localization
Jinjie Mai, Meng Yang, and Wenfeng Luo · 2020
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Self-supervised equivariant attention mechanism for weakly supervised semantic segmentation
Yude Wang, Jie Zhang, Meina Kan, Shiguang Shan, and Xilin Chen · 2020
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Rethinking the route towards weakly supervised object localization
Chen-Lin Zhang, Yun-Hao Cao, and Jianxin Wu · 2020
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Segdiff: Image segmentation with diffusion probabilistic models
Tomer Amit, Eliya Nachmani, Tal Shaharabany, and Lior Wolf · 2021
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C-CAM: causal CAM for weakly supervised semantic segmentation on medical image
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LCTR: on awakening the local continuity of transformer for weakly supervised object localization
Zhiwei Chen, Changan Wang, Yabiao Wang, Guannan Jiang, Yunhang Shen, Ying Tai, Chengjie Wang, Wei Zhang, and Liujuan Cao · 2022
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An image is worth one word: Personalizing text-to-image generation using textual inversion
Rinon Gal, Yuval Alaluf, Yuval Atzmon, Or Patashnik, Amit H. Bermano, Gal Chechik, and Daniel Cohen-Or · 2022
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Discrepant multiple instance learning for weakly supervised object detection
Wei Gao, Fang Wan, Jun Yue, Songcen Xu, and Qixiang Ye · 2022
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Curiosity-driven and victim-aware adversarial policies
Chen Gong, Zhou Yang, Yunpeng Bai, Jieke Shi, Arunesh Sinha, Bowen Xu, David Lo, Xinwen Hou, and Guoliang Fan · 2022
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Transfg: A transformer architecture for fine-grained recognition
Ju He, Jie-Neng Chen, Shuai Liu, Adam Kortylewski, Cheng Yang, Yutong Bai, and Changhu Wang · 2022
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Prompt-to-prompt image editing with cross attention control
Amir Hertz, Ron Mokady, Jay Tenenbaum, Kfir Aberman, Yael Pritch, and Daniel Cohen-Or · 2022
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Imagic: Text-based real image editing with diffusion models
Bahjat Kawar, Shiran Zada, Oran Lang, Omer Tov, Huiwen Chang, Tali Dekel, Inbar Mosseri, and Michal Irani · 2022
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Bridging the gap between classification and localization for weakly supervised object localization
Eunji Kim, Siwon Kim, Jungbeom Lee, Hyunwoo Kim, and Sungroh Yoon · 2022
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Task-aware weakly supervised object localization with transformer
Meng Meng, Tianzhu Zhang, Zhe Zhang, Yongdong Zhang, and Feng Wu · 2022
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High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
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Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation
Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Yael Pritch, Michael Rubinstein, and Kfir Aberman · 2022
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LAION-5B: an open large-scale dataset for training next generation image-text models
Christoph Schuhmann, Romain Beaumont, Richard Vencu, Cade Gordon, Ross Wightman, Mehdi Cherti, Theo Coombes, Aarush Katta, Clayton Mullis, Mitchell Wortsman, Patrick Schramowski, Srivatsa Kundurthy, Katherine Crowson, Ludwig Schmidt, Robert Kaczmarczyk, and Jenia Jitsev · 2022
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Background activation suppression for weakly supervised object localization
Pingyu Wu, Wei Zhai, and Yang Cao · 2022
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Unsupervised domain adaptation gan inversion for image editing
Siyu Xing, Chen Gong, Hewei Guo, Xiao-Yu Zhang, Xinwen Hou, and Yu Liu · 2022
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CREAM: weakly supervised object localization via class re-activation mapping
Jilan Xu, Junlin Hou, Yuejie Zhang, Rui Feng, Rui-Wei Zhao, Tao Zhang, Xuequan Lu, and Shang Gao · 2022
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Weakly supervised object detection using proposal- and semantic-level relationships
Dingwen Zhang, Wenyuan Zeng, Jieru Yao, and Junwei Han · 2022
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Weakly supervised object localization as domain adaption
Lei Zhu, Qi She, Qian Chen, Yunfei You, Boyu Wang, and Yanye Lu · 2022
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Discriminative sampling of proposals in self-supervised transformers for weakly supervised object localization
Shakeeb Murtaza, Soufiane Belharbi, Marco Pedersoli, Aydin Sarraf, and Eric Granger · 2023
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Weijia Wu, Yuzhong Zhao, Mike Zheng Shou, Hong Zhou, and Chunhua Shen · 2023
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