Learning Multiple Dense Prediction Tasks from Partially Annotated Data

29 November 2021

Papers citing "Learning Multiple Dense Prediction Tasks from Partially Annotated Data"

35 / 35 papers shown

Title
UniSTD: Towards Unified Spatio-Temporal Learning across Diverse Disciplines Chen Tang Xinzhu Ma Encheng Su Xiufeng Song Xiaohong Liu Wei-Hong Li Lei Bai Wanli Ouyang Xiangyu Yue 3DGS AI4TS 72 0 0 26 Mar 2025
Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks Alessio Quercia Erenus Yildiz Zhuo Cao Kai Krajsek Abigail Morrison Ira Assent Hanno Scharr 56 0 0 22 Jan 2025
Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learning Hanwen Zhong Jiaxin Chen Yutong Zhang Di Huang Yunhong Wang MoE 42 0 0 12 Jan 2025
Multi-Task Label Discovery via Hierarchical Task Tokens for Partially Annotated Dense Predictions Jingdong Zhang Hanrong Ye Xin Li Wenping Wang Dan Xu 72 1 0 27 Nov 2024
Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning Hoàng-Ân Lê P. Berg Minh Pham 69 0 0 26 Nov 2024
T2M-X: Learning Expressive Text-to-Motion Generation from Partially Annotated Data Mingdian Liu Y. Liu Gurunandan Krishnan Karl S Bayer Bing Zhou VGen 39 0 0 20 Sep 2024
Domain penalisation for improved Out-of-Distribution Generalisation Shuvam Jena Sushmetha Sumathi Rajendran Karthik Seemakurthy A. Sasithradevi M. Vijayalakshmi Prakash Poornachari 34 0 0 03 Aug 2024
SynthForge: Synthesizing High-Quality Face Dataset with Controllable 3D Generative Models Abhay Rawat Shubham Dokania Astitva Srivastava Shuaib Ahmed Haiwen Feng Rahul Tallamraju 32 0 0 12 Jun 2024
Leveraging knowledge distillation for partial multi-task learning from multiple remote sensing datasets Hoàng-Ân Lê Minh-Tan Pham 50 1 0 24 May 2024
Joint-Task Regularization for Partially Labeled Multi-Task Learning Kento Nishi Junsik Kim Wanhua Li Hanspeter Pfister 40 0 0 02 Apr 2024
DiffusionMTL: Learning Multi-Task Denoising Diffusion Model from Partially Annotated Data Hanrong Ye Dan Xu DiffM 52 4 0 22 Mar 2024
Region-aware Distribution Contrast: A Novel Approach to Multi-Task Partially Supervised Learning Meixuan Li Tianyu Li Guoqing Wang Peng Wang Yang Yang H. Shen 38 0 0 15 Mar 2024
Multitask Learning in Minimally Invasive Surgical Vision: A Review Oluwatosin O. Alabi Tom Kamiel Magda Vercauteren Miaojing Shi 28 3 0 16 Jan 2024
VMT-Adapter: Parameter-Efficient Transfer Learning for Multi-Task Dense Scene Understanding Yi Xin Junlong Du Qiang Wang Zhiwen Lin Ke Yan VPVLM 86 49 0 14 Dec 2023
PolyMaX: General Dense Prediction with Mask Transformer Xuan S. Yang Liangzhe Yuan Kimberly Wilber Astuti Sharma Xiuye Gu ... Stephanie Debats Huisheng Wang Hartwig Adam Mikhail Sirotenko Liang-Chieh Chen 28 14 0 09 Nov 2023
Data exploitation: multi-task learning of object detection and semantic segmentation on partially annotated data Hoàng-Ân Lê Minh-Tan Pham 26 2 0 07 Nov 2023
TSP-Transformer: Task-Specific Prompts Boosted Transformer for Holistic Scene Understanding Shuo Wang Jing Li Zibo Zhao Dongze Lian Binbin Huang Xiaomei Wang Zhengxin Li Shenghua Gao 29 4 0 06 Nov 2023
Multi-task Learning with 3D-Aware Regularization Weihong Li Steven G. McDonagh A. Leonardis Hakan Bilen 26 3 0 02 Oct 2023
Multi-Task Cooperative Learning via Searching for Flat Minima Fuping Wu Le Zhang Yang Sun Yuanhan Mo Thomas Nichols Bartłomiej W. Papież 19 1 0 21 Sep 2023
Self-Training and Multi-Task Learning for Limited Data: Evaluation Study on Object Detection Hoàng-Ân Lê Minh-Tan Pham 37 2 0 12 Sep 2023
Deformable Mixer Transformer with Gating for Multi-Task Learning of Dense Prediction Yangyang Xu Yibo Yang Bernard Ghanemm L. Zhang Du Bo Dacheng Tao 21 1 0 10 Aug 2023
TaskExpert: Dynamically Assembling Multi-Task Representations with Memorial Mixture-of-Experts Hanrong Ye Dan Xu MoE 39 26 0 28 Jul 2023
When Multi-Task Learning Meets Partial Supervision: A Computer Vision Review Maxime Fontana Michael W. Spratling Miaojing Shi 47 6 0 25 Jul 2023
Contrastive Multi-Task Dense Prediction S. Yang Hanrong Ye Dan Xu 26 11 0 16 Jul 2023
InvPT++: Inverted Pyramid Multi-Task Transformer for Visual Scene Understanding Hanrong Ye Dan Xu ViT 29 10 0 08 Jun 2023
DejaVu: Conditional Regenerative Learning to Enhance Dense Prediction Shubhankar Borse Debasmit Das Hyojin Park H. Cai Risheek Garrepalli Fatih Porikli 40 9 0 02 Mar 2023
RepMode: Learning to Re-parameterize Diverse Experts for Subcellular Structure Prediction Donghao Zhou Chunbin Gu Junde Xu Furui Liu Qiong Wang Guangyong Chen Pheng-Ann Heng MoE 13 4 0 20 Dec 2022
ProCC: Progressive Cross-primitive Compatibility for Open-World Compositional Zero-Shot Learning Fushuo Huo Wenchao Xu Song Guo Jingcai Guo Yining Qi Ziming Liu Xiaocheng Lu VLM 28 5 0 19 Nov 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
Universal Representations: A Unified Look at Multiple Task and Domain Learning Wei-Hong Li Xialei Liu Hakan Bilen SSL OOD 28 27 0 06 Apr 2022
Domain Generalisation for Object Detection under Covariate and Concept Shift Karthik Seemakurthy E. Aptoula Charles Fox Petra Bosilj ObjD OOD 26 10 0 10 Mar 2022
See Yourself in Others: Attending Multiple Tasks for Own Failure Detection Bo Sun Jiaxu Xing Hermann Blum Roland Siegwart Cesar Cadena 36 12 0 06 Oct 2021
Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation Qin Wang Dengxin Dai Lukas Hoyer Luc Van Gool Olga Fink OOD MDE 53 139 0 28 Apr 2021
Conditional Convolutions for Instance Segmentation Zhi Tian Chunhua Shen Hao Chen ISeg 179 597 0 12 Mar 2020
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 446 15,639 0 02 Nov 2015