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Pairwise Similarity Knowledge Transfer for Weakly Supervised Object Localization [article]

Amir Rahimi, Amirreza Shaban, Thalaiyasingam Ajanthan, Richard Hartley, Byron Boots
2020 arXiv   pre-print
Weakly Supervised Object Localization (WSOL) methods only require image level labels as opposed to expensive bounding box annotations required by fully supervised algorithms.  ...  For instance, in the ILSVRC dataset, the Correct Localization (CorLoc) performance improves from 72.8% to 78.2% which is a new state-of-the-art for WSOL task in the context of knowledge transfer.  ...  This research is supported in part by the Australia Research Council Centre of Excellence for Robotics Vision (CE140100016).  ... 
arXiv:2003.08375v2 fatcat:4jmfxg7krjcsni7rlpn2euvuhy

Semantic Component Analysis

Calvin Murdock, Fernando De la Torre
2015 2015 IEEE International Conference on Computer Vision (ICCV)  
If weakly-supervised information is available in the form of image-level tags, SCA factorizes a set of images into semantic groups of superpixels.  ...  Unsupervised and weakly-supervised visual learning in large image collections are critical in order to avoid the time-consuming and error-prone process of manual labeling.  ...  Acknowledgments: This work was partially supported by the Department of Defense (DoD) through the National Defense Science and Engineering Graduate Fellowship (NDSEG) Program.  ... 
doi:10.1109/iccv.2015.174 dblp:conf/iccv/MurdockT15 fatcat:qjgupmsxrfedpcpgulsbjulkky

Asian Conference on Machine Learning: Preface

2019 Asian Conference on Machine Learning  
Welcome to the eleventh edition of the Proceedings of Machine Learning Research (PMLR) for the Asian Conference on Machine Learning (ACML).  ...  This volume testifies to the quality of the conference with its collection of excellent original research papers in the area of machine learning.  ...  Besides, this workshop also discusses on broad applications of weakly-supervised learning, such as weakly-supervised object detection (computer vision), weakly-supervised sequence modeling (natural language  ... 
dblp:conf/acml/X19 fatcat:w2hyvqs5qzdszg4xawk6qvgsu4

2021 Index IEEE Transactions on Image Processing Vol. 30

2021 IEEE Transactions on Image Processing  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  -that appeared in this periodical during 2021, and items from previous years that were commented upon or corrected in 2021.  ...  ., +, TIP 2021 5154-5167 Multi-Hierarchical Category Supervision for Weakly-Supervised Temporal Action Localization.  ... 
doi:10.1109/tip.2022.3142569 fatcat:z26yhwuecbgrnb2czhwjlf73qu

Applying Link-Based Classification to Label Blogs [chapter]

Smriti Bhagat, Graham Cormode, Irina Rozenbaum
2009 Lecture Notes in Computer Science  
We present two classes of algorithms, based on local and global similarities.  ...  We study the problem of inferring the classification of all the objects from a labeled subset, using only the link-based information amongst the objects.  ...  Prior work often operates in the traditional supervised classification mode, with the assumption of a fully labeled graph to train  ... 
doi:10.1007/978-3-642-00528-2_6 fatcat:mypcy7et75gz3dobp7ghp4upzq

Applying link-based classification to label blogs

Smriti Bhagat, Irina Rozenbaum, Graham Cormode
2007 Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis - WebKDD/SNA-KDD '07  
We present two classes of algorithms, based on local and global similarities.  ...  We study the problem of inferring the classification of all the objects from a labeled subset, using only the link-based information amongst the objects.  ...  Prior work often operates in the traditional supervised classification mode, with the assumption of a fully labeled graph to train  ... 
doi:10.1145/1348549.1348560 fatcat:jmep7twdmfbibeeewd47b7zsb4

Causal Reasoning Meets Visual Representation Learning: A Prospective Study [article]

Yang Liu, Yushen Wei, Hong Yan, Guanbin Li, Liang Lin
2022 arXiv   pre-print
Moreover, we propose some prospective challenges, opportunities, and future research directions for benchmarking causal reasoning algorithms in visual representation learning.  ...  Inspired by the strong inference ability of human-level agents, recent years have therefore witnessed great effort in developing causal reasoning paradigms to realize robust representation and model learning  ...  A representative task is weakly supervised object localization, detection and grounding [219] [220] [221] , which aims to localize objects described in the sentence to visual regions in the image/video  ... 
arXiv:2204.12037v6 fatcat:upidzcsgubf2nkm5gieudz6jbu

Re-ranking by Multi-feature Fusion with Diffusion for Image Retrieval

Fan Yang, Bogdan Matei, Larry S. Davis
2015 2015 IEEE Winter Conference on Applications of Computer Vision  
In addition, we utilize a probabilistic model based on the statistics of similarity scores of similar and dissimilar image pairs to determine the weight for each graph.  ...  We present a re-ranking algorithm for image retrieval by fusing multi-feature information. We utilize pairwise similarity scores between images to exploit the underlying relationships among images.  ...  [8] proposed a weakly supervised multi-graph learning approach for fusion by using image attributes. Zhang et al.  ... 
doi:10.1109/wacv.2015.82 dblp:conf/wacv/YangMD15 fatcat:fk7gfojn5bg7to2rlhtxkm5dfm

Efficient Global Learning of Entailment Graphs

Jonathan Berant, Noga Alon, Ido Dagan, Jacob Goldberger
2015 Computational Linguistics  
In this paper, we present methods for learning transitive graphs that contain tens of thousands of nodes, where nodes represent predicates and edges correspond to entailment rules (termed entailment graphs  ...  Entailment rules between predicates are fundamental to many semantic-inference applications. Consequently, learning such rules has been an active field of research in recent years.  ...  In recent years, there has been substantial work on approximation algorithms for global inference problems.  ... 
doi:10.1162/coli_a_00220 fatcat:cipclonh6fh23m6sbxjpqzrvae

Robust Deep Semi-Supervised Learning: A Brief Introduction [article]

Lan-Zhe Guo and Zhi Zhou and Yu-Feng Li
2022 arXiv   pre-print
Semi-supervised learning (SSL) is the branch of machine learning that aims to improve learning performance by leveraging unlabeled data when labels are insufficient.  ...  Finally, we propose possible promising directions within robust SSL to provide insights for future research.  ...  For example, in the FixMatch algorithm, L u is the cross-entropy loss between strong augmented examples and pseudo-label of weakly augmented examples.  ... 
arXiv:2202.05975v1 fatcat:g6ra3ciljbhera44w5bxqqqvhu

Table of Contents

2021 IEEE Signal Processing Letters  
Li Cross-Epoch Learning for Weakly Supervised Anomaly Detection in Surveillance Videos . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ...  Duan Self-Supervised Feature Enhancement Networks for Small Object Detection in Noisy Images . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ... 
doi:10.1109/lsp.2021.3134551 fatcat:ab4b4tb5rrcu5cq6aifdekrizq

Improved Parsing and POS Tagging Using Inter-Sentence Consistency Constraints

Alexander M. Rush, Roi Reichart, Michael Collins, Amir Globerson
2012 Conference on Empirical Methods in Natural Language Processing  
To deal with the resulting global objective, we present an efficient and exact dual decomposition decoding algorithm.  ...  In this paper, we aim to compensate for the lack of available training data by exploiting similarities between test set sentences.  ...  Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the view of DARPA, AFRL, or the US government.  ... 
dblp:conf/emnlp/RushRCG12 fatcat:igcltvl73nb3lo4jons7m6u5mm

2020 Index IEEE Transactions on Image Processing Vol. 29

2020 IEEE Transactions on Image Processing  
., +, TIP 2020 2536-2551 Greedy algorithms High-Quality Proposals for Weakly Supervised Object Detection.  ...  High-Quality Proposals for Weakly Supervised Object Detection. Cheng, G., +, TIP 2020 5794-5804 Joint Angular Refinement and Reconstruction for Single-Particle Cryo-EM.  ... 
doi:10.1109/tip.2020.3046056 fatcat:24m6k2elprf2nfmucbjzhvzk3m

2021 Index IEEE Transactions on Pattern Analysis and Machine Intelligence Vol. 43

2022 IEEE Transactions on Pattern Analysis and Machine Intelligence  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  -that appeared in this periodical during 2021, and items from previous years that were commented upon or corrected in 2021.  ...  ., +, TPAMI Jan. 2021 1-16 Attention-Based Dropout Layer for Weakly Supervised Single Object Local-ization and Semantic Segmentation.  ... 
doi:10.1109/tpami.2021.3126216 fatcat:h6bdbf2tdngefjgj76cudpoyia

2021 Index IEEE Signal Processing Letters Vol. 28

2021 IEEE Signal Processing Letters  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  -that appeared in this periodical during 2021, and items from previous years that were commented upon or corrected in 2021.  ...  ., +, LSP 2021 1983-1987 Cross-Epoch Learning for Weakly Supervised Anomaly Detection in Sur-veillance Videos.  ... 
doi:10.1109/lsp.2022.3145253 fatcat:a3xqvok75vgepcckwnhh2mty74
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