NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction

25 January 2018

Papers citing "NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction"

50 / 50 papers shown

Title
Uniform Loss vs. Specialized Optimization: A Comparative Analysis in Multi-Task Learning Gabriel S. Gama Valdir Grassi Jr MoMe 45 0 0 15 May 2025
Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learning Hanwen Zhong Jiaxin Chen Yutong Zhang Di Huang Yunhong Wang MoE 44 0 0 12 Jan 2025
Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning Yuxiang Lu Shengcao Cao Yu-xiong Wang 55 1 0 18 Oct 2024
Stylistic Multi-Task Analysis of Ukiyo-e Woodblock Prints Selina Khan Nanne van Noord 51 4 0 16 Oct 2024
SGW-based Multi-Task Learning in Vision Tasks Ruiyuan Zhang Yuyao Chen Yuchi Huo Jiaxiang Liu Dianbing Xi Jie Liu Chao Wu 28 0 0 03 Oct 2024
AutoTask: Task Aware Multi-Faceted Single Model for Multi-Task Ads Relevance Shouchang Guo Sonam Damani Keng-hao Chang 37 0 0 09 Jul 2024
GO4Align: Group Optimization for Multi-Task Alignment Jiayi Shen Cheems Wang Zehao Xiao Nanne van Noord M. Worring 32 3 0 09 Apr 2024
MmAP : Multi-modal Alignment Prompt for Cross-domain Multi-task Learning Yi Xin Junlong Du Qiang Wang Ke Yan Shouhong Ding VLM 44 45 0 14 Dec 2023
Disentangled Latent Spaces Facilitate Data-Driven Auxiliary Learning Geri Skenderi Luigi Capogrosso Andrea Toaiari Matteo Denitto Franco Fummi Simone Melzi Marco Cristani OOD 36 0 0 13 Oct 2023
Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing with Non-Learnable Primitives Chuntao Ding Zhichao Lu Shangguang Wang Ran Cheng Vishnu Naresh Boddeti MoMe 21 16 0 03 Aug 2023
TaskExpert: Dynamically Assembling Multi-Task Representations with Memorial Mixture-of-Experts Hanrong Ye Dan Xu MoE 42 26 0 28 Jul 2023
Advances and Challenges in Meta-Learning: A Technical Review Anna Vettoruzzo Mohamed-Rafik Bouguelia Joaquin Vanschoren Thorsteinn Rögnvaldsson K. Santosh OffRL 29 70 0 10 Jul 2023
InvPT++: Inverted Pyramid Multi-Task Transformer for Visual Scene Understanding Hanrong Ye Dan Xu ViT 29 10 0 08 Jun 2023
Performance-aware Approximation of Global Channel Pruning for Multitask CNNs Hancheng Ye Bo-Wen Zhang Tao Chen Jiayuan Fan Bin Wang 32 18 0 21 Mar 2023
Modular Deep Learning Jonas Pfeiffer Sebastian Ruder Ivan Vulić E. Ponti MoMe OOD 32 73 0 22 Feb 2023
MaxGNR: A Dynamic Weight Strategy via Maximizing Gradient-to-Noise Ratio for Multi-Task Learning Caoyun Fan Wenqing Chen Jidong Tian Yitian Li Hao He Yaohui Jin 19 2 0 18 Feb 2023
Same Same, But Different: Conditional Multi-Task Learning for Demographic-Specific Toxicity Detection Soumyajit Gupta Sooyong Lee Maria De-Arteaga Matthew Lease 27 13 0 14 Feb 2023
SynMotor: A Benchmark Suite for Object Attribute Regression and Multi-task Learning Chengzhi Wu Linxi Qiu Kanran Zhou Julius Pfrommer Jürgen Beyerer 34 1 0 11 Jan 2023
DeMT: Deformable Mixer Transformer for Multi-Task Learning of Dense Prediction Yang Yang Yibo Yang Lefei Zhang ViT 36 52 0 09 Jan 2023
PromptonomyViT: Multi-Task Prompt Learning Improves Video Transformers using Synthetic Scene Data Roei Herzig Ofir Abramovich Elad Ben-Avraham Assaf Arbelle Leonid Karlinsky Ariel Shamir Trevor Darrell Amir Globerson 41 16 0 08 Dec 2022
PartAL: Efficient Partial Active Learning in Multi-Task Visual Settings N. Durasov Nik Dorndorf Pascal Fua VLM 21 5 0 21 Nov 2022
Interactive Feature Embedding for Infrared and Visible Image Fusion F. Zhao Wenda Zhao Huchuan Lu 24 10 0 09 Nov 2022
M $^3$ ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design Hanxue Liang Zhiwen Fan Rishov Sarkar Ziyu Jiang Tianlong Chen Kai Zou Yu Cheng Cong Hao Zhangyang Wang MoE 42 81 0 26 Oct 2022
Toward Edge-Efficient Dense Predictions with Synergistic Multi-Task Neural Architecture Search Thanh Tien Vu Yan-Quan Zhou Chun-Yung Wen Yueqi Li Jan-Michael Frahm 42 4 0 04 Oct 2022
E2-AEN: End-to-End Incremental Learning with Adaptively Expandable Network Guimei Cao Zhanzhan Cheng Yunlu Xu Duo Li Shiliang Pu Yi Niu Fei Wu CLL 23 2 0 14 Jul 2022
Multi-Task Learning with Multi-Query Transformer for Dense Prediction Yangyang Xu Xiangtai Li Haobo Yuan Yibo Yang Lefei Zhang ViT 28 45 0 28 May 2022
BEVerse: Unified Perception and Prediction in Birds-Eye-View for Vision-Centric Autonomous Driving Yunpeng Zhang Zheng Hua Zhu Wenzhao Zheng Junjie Huang Guan Huang Jie Zhou Jiwen Lu 36 187 0 19 May 2022
Medusa: Universal Feature Learning via Attentional Multitasking Jaime Spencer Richard Bowden Simon Hadfield CLL 30 1 0 12 Apr 2022
MRI-based Multi-task Decoupling Learning for Alzheimer's Disease Detection and MMSE Score Prediction: A Multi-site Validation Xu Tian Jin Liu Hulin Kuang Yu Sheng Jianxin Wang The Alzheimer’s Disease Neuroimaging Initiative 16 5 0 02 Apr 2022
X-Learner: Learning Cross Sources and Tasks for Universal Visual Representation Yinan He Gengshi Huang Siyu Chen Jianing Teng Wang Kun Zhen-fei Yin Lu Sheng Ziwei Liu Yu Qiao Jing Shao VLM SSL ViT 43 7 0 16 Mar 2022
InvPT: Inverted Pyramid Multi-task Transformer for Dense Scene Understanding Hanrong Ye Dan Xu ViT 21 84 0 15 Mar 2022
A Tree-Structured Multi-Task Model Recommender Lijun Zhang Xiao Liu Hui Guan LRM VLM 32 10 0 10 Mar 2022
Multi-Order Networks for Action Unit Detection Gauthier Tallec Arnaud Dapogny Kévin Bailly CVBM 22 12 0 01 Feb 2022
Attentive Task Interaction Network for Multi-Task Learning Dimitrios Sinodinos Narges Armanfard AIMat 15 2 0 25 Jan 2022
Channel Exchanging Networks for Multimodal and Multitask Dense Image Prediction Yikai Wang Gang Hua Wenbing Huang Fengxiang He Dacheng Tao 54 29 0 04 Dec 2021
Learning Multiple Dense Prediction Tasks from Partially Annotated Data Weihong Li Xialei Liu Hakan Bilen 45 40 0 29 Nov 2021
Improved optimization strategies for deep Multi-Task Networks Lucas Pascal Pietro Michiardi Xavier Bost B. Huet Maria A. Zuluaga 35 6 0 21 Sep 2021
SLAW: Scaled Loss Approximate Weighting for Efficient Multi-Task Learning M. Crawshaw Jana Kosecka 26 7 0 16 Sep 2021
MEDIC: A Multi-Task Learning Dataset for Disaster Image Classification Firoj Alam Tanvirul Alam Md. Arid Hasan A. Hasnat Muhammad Imran Ferda Ofli VLM 28 51 0 29 Aug 2021
Multitask Learning for Scalable and Dense Multilayer Bayesian Map Inference Lu Gan Youngji Kim J. Grizzle Jeffrey M. Walls Ayoung Kim Ryan Eustice Maani Ghaffari 32 15 0 28 Jun 2021
Attention-Enhanced Cross-Task Network for Analysing Multiple Attributes of Lung Nodules in CT Xiaohang Fu Lei Bi Ashnil Kumar M. Fulham Jinman Kim 14 29 0 05 Mar 2021
Exploiting Learnable Joint Groups for Hand Pose Estimation Moran Li Yuan Gao Nong Sang 3DH 29 35 0 17 Dec 2020
Multi-Task Learning with Deep Neural Networks: A Survey M. Crawshaw CVBM 48 609 0 10 Sep 2020
Maximum Roaming Multi-Task Learning Lucas Pascal Pietro Michiardi Xavier Bost B. Huet Maria A. Zuluaga 31 31 0 17 Jun 2020
Learning to Branch for Multi-Task Learning Pengsheng Guo Chen-Yu Lee Daniel Ulbricht 18 174 0 02 Jun 2020
Multi-Task Learning for Dense Prediction Tasks: A Survey Simon Vandenhende Stamatios Georgoulis Wouter Van Gansbeke Marc Proesmans Dengxin Dai Luc Van Gool CVBM 29 72 0 28 Apr 2020
MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning Yuan Gao Haoping Bai Zequn Jie Jiayi Ma Kui Jia Wei Liu 19 94 0 31 Mar 2020
OpenLORIS-Object: A Robotic Vision Dataset and Benchmark for Lifelong Deep Learning Qi She Fan Feng Xinyue Hao Qihan Yang Chuanlin Lan ... Zhengwei Wang Yao Guo Yimin Zhang Fei Qiao Rosa H. M. Chan VLM 35 75 0 15 Nov 2019
PI-RCNN: An Efficient Multi-sensor 3D Object Detector with Point-based Attentive Cont-conv Fusion Module Liang Xie Chao Xiang Zhengxu Yu Guodong Xu Zheng Yang Deng Cai Xiaofei He 3DPC 25 203 0 14 Nov 2019
Branched Multi-Task Networks: Deciding What Layers To Share Simon Vandenhende Stamatios Georgoulis Bert De Brabandere Luc Van Gool 25 145 0 05 Apr 2019