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1807.06708
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A Modulation Module for Multi-task Learning with Applications in Image Retrieval
European Conference on Computer Vision (ECCV), 2018
17 July 2018
Xiangyu Zhao
Haoxiang Li
Xiaohui Shen
Xiaodan Liang
Ying Nian Wu
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Papers citing
"A Modulation Module for Multi-task Learning with Applications in Image Retrieval"
50 / 63 papers shown
Externally Validated Multi-Task Learning via Consistency Regularization Using Differentiable BI-RADS Features for Breast Ultrasound Tumor Segmentation
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DualResolution Residual Architecture with Artifact Suppression for Melanocytic Lesion Segmentation
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Edge Detection for Organ Boundaries via Top Down Refinement and SubPixel Upsampling
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VesselRW: Weakly Supervised Subcutaneous Vessel Segmentation via Learned Random Walk Propagation
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Deeply Dual Supervised learning for melanoma recognition
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252
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04 Aug 2025
Vision Generalist Model: A Survey
International Journal of Computer Vision (IJCV), 2025
Ziyi Wang
Yongming Rao
Shuofeng Sun
Xinrun Liu
Yi Wei
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Yanbo Wang
Hongmin Liu
Jie Zhou
Jiwen Lu
312
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11 Jun 2025
Permissioned LLMs: Enforcing Access Control in Large Language Models
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Virendra J. Marathe
Hamid Mozaffari
William F. Shen
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353
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GCDance: Genre-Controlled Music-Driven 3D Full Body Dance Generation
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Xu Dong
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Diptesh Kanojia
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Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learning
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322
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Hierarchical Structure Sharing Empowers Multi-task Heterogeneous GNNs for Customer Expansion
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Shuxin Zhong
Jinquan Hang
Wenjun Lyu
Yuequn Zhang
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Desheng Zhang
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271
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PETAH: Parameter Efficient Task Adaptation for Hybrid Transformers in a resource-limited Context
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Syed Shakib Sarwar
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280
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AutoTask: Task Aware Multi-Faceted Single Model for Multi-Task Ads Relevance
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Sonam Damani
Keng-hao Chang
164
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Towards Modular LLMs by Building and Reusing a Library of LoRAs
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O. Ostapenko
Zhan Su
Edoardo Ponti
Laurent Charlin
Nicolas Le Roux
Matheus Pereira
Lucas Caccia
Alessandro Sordoni
MoMe
261
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18 May 2024
Multi-Task Dense Prediction via Mixture of Low-Rank Experts
Yuqi Yang
Peng-Tao Jiang
Qibin Hou
Hao Zhang
Jinwei Chen
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Gaurav Kumar
Amelie Royer
Christos Louizos
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Mohsen Ghafoorian
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258
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Octavius: Mitigating Task Interference in MLLMs via LoRA-MoE
International Conference on Learning Representations (ICLR), 2023
Zeren Chen
Ziqin Wang
Zhen Wang
Huayang Liu
Zhen-fei Yin
Si Liu
Lu Sheng
Wanli Ouyang
Yu Qiao
Jing Shao
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299
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Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing with Non-Learnable Primitives
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Chuntao Ding
Zhichao Lu
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290
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MAS: Towards Resource-Efficient Federated Multiple-Task Learning
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Weiming Zhuang
Yonggang Wen
Lingjuan Lyu
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193
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21 Jul 2023
Mitigating Negative Transfer with Task Awareness for Sexism, Hate Speech, and Toxic Language Detection
IEEE International Joint Conference on Neural Network (IJCNN), 2023
Angel Felipe Magnossão de Paula
Paolo Rosso
Damiano Spina
224
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07 Jul 2023
Multi-Task Learning Improves Performance In Deep Argument Mining Models
Workshop on Argument Mining (ArgMining), 2023
Amirhossein Farzam
Shashank Shekhar
Isaac Mehlhaff
Marco Morucci
217
1
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03 Jul 2023
Multi-Task Consistency for Active Learning
A. Hekimoglu
Philipp Friedrich
Walter Zimmer
Michael Schmidt
Alvaro Marcos-Ramiro
Alois C. Knoll
VLM
261
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21 Jun 2023
"It's a Match!" -- A Benchmark of Task Affinity Scores for Joint Learning
Raphaël Azorin
Massimo Gallo
A. Finamore
Dario Rossi
Pietro Michiardi
234
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07 Jan 2023
Conditioning Covert Geo-Location (CGL) Detection on Semantic Class Information
Pattern Recognition and Machine Intelligence (PRMI), 2022
Binoy Saha
Sukhendu Das
233
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27 Nov 2022
Grouped Adaptive Loss Weighting for Person Search
ACM Multimedia (ACM MM), 2022
Yanling Tian
Di Chen
Yunan Liu
Shanshan Zhang
Jian Yang
159
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Curbing Task Interference using Representation Similarity-Guided Multi-Task Feature Sharing
Naresh Gurulingan
Elahe Arani
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204
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Smart Multi-tenant Federated Learning
Weiming Zhuang
Yonggang Wen
Shuai Zhang
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261
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09 Jul 2022
Saliency-Regularized Deep Multi-Task Learning
Knowledge Discovery and Data Mining (KDD), 2022
Guangji Bai
Bo Pan
236
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Polymorphic-GAN: Generating Aligned Samples across Multiple Domains with Learned Morph Maps
Computer Vision and Pattern Recognition (CVPR), 2022
Seung Wook Kim
Karsten Kreis
Daiqing Li
Antonio Torralba
Sanja Fidler
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257
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06 Jun 2022
Privacy-Preserving Model Upgrades with Bidirectional Compatible Training in Image Retrieval
Shupeng Su
Binjie Zhang
Yixiao Ge
Xuyuan Xu
Yexin Wang
Chun Yuan
Ying Shan
239
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Medusa: Universal Feature Learning via Attentional Multitasking
Jaime Spencer
Richard Bowden
Simon Hadfield
CLL
172
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X-Learner: Learning Cross Sources and Tasks for Universal Visual Representation
European Conference on Computer Vision (ECCV), 2022
Yinan He
Gengshi Huang
Siyu Chen
Jianing Teng
Wang Kun
Zhen-fei Yin
Lu Sheng
Ziwei Liu
Yu Qiao
Jing Shao
VLM
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266
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16 Mar 2022
On Steering Multi-Annotations per Sample for Multi-Task Learning
Yuan Li
Yiwen Guo
Qizhang Li
Hongzhi Zhang
W. Zuo
223
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06 Mar 2022
INTERN: A New Learning Paradigm Towards General Vision
Jing Shao
Siyu Chen
Yangguang Li
Kun Wang
Zhen-fei Yin
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F. Yu
Junjie Yan
Dahua Lin
Xiaogang Wang
Yu Qiao
238
39
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16 Nov 2021
Efficiently Identifying Task Groupings for Multi-Task Learning
Neural Information Processing Systems (NeurIPS), 2021
Christopher Fifty
Ehsan Amid
Zhe Zhao
Tianhe Yu
Rohan Anil
Chelsea Finn
633
298
1
10 Sep 2021
Visible Watermark Removal via Self-calibrated Localization and Background Refinement
ACM Multimedia (ACM MM), 2021
Jing Liang
Li Niu
Fengjun Guo
Teng Long
Liqing Zhang
190
45
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08 Aug 2021
Spatio-Temporal Multi-Task Learning Transformer for Joint Moving Object Detection and Segmentation
International Conference on Intelligent Transportation Systems (ITSC), 2021
Eslam Mohamed
Ahmad El-Sallab
164
15
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Image interpretation by iterative bottom-up top-down processing
S. Ullman
Liav Assif
Alona Strugatski
B. Vatashsky
Hila Levy
Aviv Netanyahu
A. Yaari
185
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12 May 2021
Multi-task Learning by Leveraging the Semantic Information
AAAI Conference on Artificial Intelligence (AAAI), 2021
Fan Zhou
B. Chaib-draa
Boyu Wang
222
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CompositeTasking: Understanding Images by Spatial Composition of Tasks
Computer Vision and Pattern Recognition (CVPR), 2020
Nikola Popovic
D. Paudel
Thomas Probst
Guolei Sun
Luc Van Gool
231
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Bifold and Semantic Reasoning for Pedestrian Behavior Prediction
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Mohsen Rohani
Jun Luo
394
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Your "Flamingo" is My "Bird": Fine-Grained, or Not
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297
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Measuring and Harnessing Transference in Multi-Task Learning
Christopher Fifty
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Rohan Anil
Chelsea Finn
297
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Enhancing a Neurocognitive Shared Visuomotor Model for Object Identification, Localization, and Grasping With Learning From Auxiliary Tasks
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Matthias Kerzel
Fares Abawi
Manfred Eppe
S. Wermter
288
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Multi-Task Learning with Deep Neural Networks: A Survey
M. Crawshaw
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Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference
European Conference on Computer Vision (ECCV), 2020
Menelaos Kanakis
David Brüggemann
Suman Saha
Stamatios Georgoulis
Anton Obukhov
Luc Van Gool
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315
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Multi-Task Learning for Dense Prediction Tasks: A Survey
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Stamatios Georgoulis
Wouter Van Gansbeke
Marc Proesmans
Dengxin Dai
Luc Van Gool
CVBM
350
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A Generalized Multi-Task Learning Approach to Stereo DSM Filtering in Urban Areas
Isprs Journal of Photogrammetry and Remote Sensing (ISPRS J. Photogramm. Remote Sens.), 2020
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Marco Körner
284
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Deeper Task-Specificity Improves Joint Entity and Relation Extraction
Phil Crone
121
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Multi-Task Learning by a Top-Down Control Network
International Conference on Information Photonics (ICIP), 2020
Hila Levi
S. Ullman
285
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