Learning Multiple Dense Prediction Tasks from Partially Annotated Data

29 November 2021

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

11 / 11 papers shown

Title
Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks Alessio Quercia Erenus Yildiz Zhuo Cao Kai Krajsek Abigail Morrison Ira Assent Hanno Scharr 51 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
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 21 14 0 09 Nov 2023
TaskExpert: Dynamically Assembling Multi-Task Representations with Memorial Mixture-of-Experts Hanrong Ye Dan Xu MoE 21 26 0 28 Jul 2023
InvPT++: Inverted Pyramid Multi-Task Transformer for Visual Scene Understanding Hanrong Ye Dan Xu ViT 16 10 0 08 Jun 2023
Multi-Task Learning with Multi-Query Transformer for Dense Prediction Yangyang Xu Xiangtai Li Haobo Yuan Yibo Yang Lefei Zhang ViT 15 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 14 27 0 06 Apr 2022
See Yourself in Others: Attending Multiple Tasks for Own Failure Detection Bo Sun Jiaxu Xing Hermann Blum Roland Siegwart César Cadena 27 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 45 137 0 28 Apr 2021
Conditional Convolutions for Instance Segmentation Zhi Tian Chunhua Shen Hao Chen ISeg 167 596 0 12 Mar 2020
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 423 15,438 0 02 Nov 2015