MultiNet++: Multi-Stream Feature Aggregation and Geometric Loss Strategy
for Multi-Task Learning

MultiNet++: Multi-Stream Feature Aggregation and Geometric Loss Strategy for Multi-Task Learning

15 April 2019

Sumanth Chennupati

Papers citing "MultiNet++: Multi-Stream Feature Aggregation and Geometric Loss Strategy for Multi-Task Learning"

15 / 15 papers shown

Title
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
radarODE-MTL: A Multi-Task Learning Framework with Eccentric Gradient Alignment for Robust Radar-Based ECG Reconstruction Y. Zhang Rui Yang Yutao Yue Eng Gee Lim 31 1 0 11 Oct 2024
S&Reg: End-to-End Learning-Based Model for Multi-Goal Path Planning Problem Yuan Huang Kairui Gu Hee-Hyol Lee 11 3 0 08 Aug 2023
Sample-Level Weighting for Multi-Task Learning with Auxiliary Tasks Emilie Grégoire M. H. Chaudhary Sam Verboven 24 1 0 07 Jun 2023
Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline Peng Wu Xiaosong Jia Li Chen Junchi Yan Hongyang Li Yu Qiao 25 182 0 16 Jun 2022
Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization Adrián Javaloy Maryam Meghdadi Isabel Valera 19 26 0 09 Jun 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
LibMTL: A Python Library for Multi-Task Learning Baijiong Lin Yu Zhang OffRL AI4CE 25 37 0 27 Mar 2022
Adversarial Attacks on Multi-task Visual Perception for Autonomous Driving Ibrahim Sobh Ahmed Hamed V. Kumar S. Yogamani AAML 29 20 0 15 Jul 2021
Weather and Light Level Classification for Autonomous Driving: Dataset, Baseline and Active Learning Mahesh M Dhananjaya V. Kumar S. Yogamani 20 35 0 28 Apr 2021
A Deep-Learning Approach For Direct Whole-Heart Mesh Reconstruction Fanwei Kong N. Wilson S. Shadden MedIm AI4CE 42 82 0 16 Feb 2021
Multi-Task Learning with Deep Neural Networks: A Survey M. Crawshaw CVBM 25 608 0 10 Sep 2020
Which Tasks Should Be Learned Together in Multi-task Learning? Trevor Scott Standley Amir Zamir Dawn Chen Leonidas J. Guibas Jitendra Malik Silvio Savarese 13 502 0 18 May 2019
Deep Semantic Segmentation for Automated Driving: Taxonomy, Roadmap and Challenges Mennatullah Siam Sara Elkerdawy Martin Jägersand S. Yogamani 119 166 0 08 Jul 2017
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 230 7,903 0 13 Jun 2015