Cover Image

RMT-PPAD: Real-time Multi-task Learning for Panoptic Perception in Autonomous Driving

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Jiayuan, Wu, Q. M. Jonathan, Suto, Katsuya, Zhang, Ning
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Compressing Multi-Task Model for Autonomous Driving via Pruning and Knowledge Distillation
by: Wang, Jiayuan, et al.
Published: (2025)

A Survey on Deep Multi-Task Learning in Connected Autonomous Vehicles
by: Wang, Jiayuan, et al.
Published: (2025)

Panoptic Perception for Autonomous Driving: A Survey
by: Li, Yunge, et al.
Published: (2024)

You Only Look at Once for Real-time and Generic Multi-Task
by: Wang, Jiayuan, et al.
Published: (2023)

A CLIP-based Uncertainty Modal Modeling (UMM) Framework for Pedestrian Re-Identification in Autonomous Driving
by: Li, Jialin, et al.
Published: (2025)

One-Shot Federated Unsupervised Domain Adaptation with Scaled Entropy Attention and Multi-Source Smoothed Pseudo Labeling
by: Abedi, Ali, et al.
Published: (2025)

PPAD: Iterative Interactions of Prediction and Planning for End-to-end Autonomous Driving
by: Chen, Zhili, et al.
Published: (2023)

The ATLAS of Traffic Lights: A Reliable Perception Framework for Autonomous Driving
by: Polley, Rupert, et al.
Published: (2025)

Multi-Objective Reinforcement Learning for Adaptable Personalized Autonomous Driving
by: Surmann, Hendrik, et al.
Published: (2025)

Exploiting T-norms for Deep Learning in Autonomous Driving
by: Stoian, Mihaela Cătălina, et al.
Published: (2024)

Multi-task Learning for Real-time Autonomous Driving Leveraging Task-adaptive Attention Generator
by: Choi, Wonhyeok, et al.
Published: (2024)

Distill to Think, Foresee to Act: Cognitive-Physical Reinforcement Learning for Autonomous Driving
by: Wu, Yang, et al.
Published: (2026)

Toward Unified Multimodal Representation Learning for Autonomous Driving
by: Tao, Ximeng, et al.
Published: (2026)

ZOPP: A Framework of Zero-shot Offboard Panoptic Perception for Autonomous Driving
by: Ma, Tao, et al.
Published: (2024)

SCaRL- A Synthetic Multi-Modal Dataset for Autonomous Driving
by: Ramesh, Avinash Nittur, et al.
Published: (2024)

Multi-Modal Sensor Fusion using Hybrid Attention for Autonomous Driving
by: Mayank, Mayank, et al.
Published: (2026)

Delving into Multi-modal Multi-task Foundation Models for Road Scene Understanding: From Learning Paradigm Perspectives
by: Luo, Sheng, et al.
Published: (2024)

Strike a Balance in Continual Panoptic Segmentation
by: Chen, Jinpeng, et al.
Published: (2024)

Bench2Drive-R: Turning Real World Data into Reactive Closed-Loop Autonomous Driving Benchmark by Generative Model
by: You, Junqi, et al.
Published: (2024)

Multi-task Learning for Identification of Porcelain in Song and Yuan Dynasties
by: Ling, Ziyao, et al.
Published: (2025)

Pre-Trained Vision Models as Perception Backbones for Safety Filters in Autonomous Driving
by: Yang, Yuxuan, et al.
Published: (2024)

HENet++: Hybrid Encoding and Multi-task Learning for 3D Perception and End-to-end Autonomous Driving
by: Xia, Zhongyu, et al.
Published: (2025)

Multi-Modal Data-Efficient 3D Scene Understanding for Autonomous Driving
by: Kong, Lingdong, et al.
Published: (2024)

Enhancing Multi-task Learning Capability of Medical Generalist Foundation Model via Image-centric Multi-annotation Data
by: Zhu, Xun, et al.
Published: (2025)

DriveTransformer: Unified Transformer for Scalable End-to-End Autonomous Driving
by: Jia, Xiaosong, et al.
Published: (2025)

Road Boundary Detection Using 4D mmWave Radar for Autonomous Driving
by: Wu, Yuyan, et al.
Published: (2025)

Exploiting Boundary Loss for the Hierarchical Panoptic Segmentation of Plants and Leaves
by: Darbyshire, Madeleine, et al.
Published: (2024)

Single-Eye View: Monocular Real-time Perception Package for Autonomous Driving
by: Zhang, Haixi, et al.
Published: (2026)

SECURE: Stable Early Collision Understanding via Robust Embeddings in Autonomous Driving
by: Wang, Wenjing, et al.
Published: (2026)

STELLAR: Scaling 3D Perception Large Models for Autonomous Driving
by: Li, Yingwei, et al.
Published: (2026)

Panoptic Pairwise Distortion Graph
by: Janjua, Muhammad Kamran, et al.
Published: (2026)

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving
by: Guan, Yanchen, et al.
Published: (2025)

CARIL: Confidence-Aware Regression in Imitation Learning for Autonomous Driving
by: Delavari, Elahe, et al.
Published: (2025)

CarPlanner: Consistent Auto-regressive Trajectory Planning for Large-scale Reinforcement Learning in Autonomous Driving
by: Zhang, Dongkun, et al.
Published: (2025)

Comparative Analysis of YOLOv5, Faster R-CNN, SSD, and RetinaNet for Motorbike Detection in Kigali Autonomous Driving Context
by: Yinkfu, Ngeyen, et al.
Published: (2025)

Dynamic Adversarial Attacks on Autonomous Driving Systems
by: Chahe, Amirhosein, et al.
Published: (2023)

A Simple Latent Diffusion Approach for Panoptic Segmentation and Mask Inpainting
by: Van Gansbeke, Wouter, et al.
Published: (2024)

A Fair Ranking and New Model for Panoptic Scene Graph Generation
by: Lorenz, Julian, et al.
Published: (2024)

SynFog: A Photo-realistic Synthetic Fog Dataset based on End-to-end Imaging Simulation for Advancing Real-World Defogging in Autonomous Driving
by: Xie, Yiming, et al.
Published: (2024)

A Survey for Foundation Models in Autonomous Driving
by: Gao, Haoxiang, et al.
Published: (2024)