:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Ravindran, Dharsan, Wang, Kevin, Cao, Zhuoyuan, Abdelrahman, Saleh, Wu, Jeffery
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	https://arxiv.org/abs/2509.04735
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

E-BayesSAM: Efficient Bayesian Adaptation of SAM with Self-Optimizing KAN-Based Interpretation for Uncertainty-Aware Ultrasonic Segmentation
by: Huang, Bin, et al.
Published: (2025)

ICPR 2024 Competition on Safe Segmentation of Drive Scenes in Unstructured Traffic and Adverse Weather Conditions
by: Shaik, Furqan Ahmed, et al.
Published: (2024)

Semantic Segmentation in Multiple Adverse Weather Conditions with Domain Knowledge Retention
by: Yang, Xin, et al.
Published: (2024)

Restoring Images in Adverse Weather Conditions via Histogram Transformer
by: Sun, Shangquan, et al.
Published: (2024)

LIORNet: Self-Supervised LiDAR Snow Removal Framework for Autonomous Driving under Adverse Weather Conditions
by: Park, Ji-il, et al.
Published: (2026)

Domain-Incremental Semantic Segmentation for Autonomous Driving under Adverse Driving Conditions
by: Muralidhara, Shishir, et al.
Published: (2025)

CADENet: Condition-Adaptive Asynchronous Dual-Stream Enhancement Network for Adverse Weather Perception in Autonomous Driving
by: Khairy, Sherif, et al.
Published: (2026)

Enhancing Vehicle Detection under Adverse Weather Conditions with Contrastive Learning
by: Li, Boying, et al.
Published: (2025)

Bridging the Generalization Gap in Adverse Weather Segmentation: A Training Recipe Perspective
by: Xu, Cong, et al.
Published: (2026)

Label-Efficient Semantic Segmentation of LiDAR Point Clouds in Adverse Weather Conditions
by: Piroli, Aldi, et al.
Published: (2024)

RoSe: Robust Self-supervised Stereo Matching under Adverse Weather Conditions
by: Wang, Yun, et al.
Published: (2025)

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions
by: Yao, Siyuan, et al.
Published: (2025)

SAM2Long: Enhancing SAM 2 for Long Video Segmentation with a Training-Free Memory Tree
by: Ding, Shuangrui, et al.
Published: (2024)

WeatherDepth: Curriculum Contrastive Learning for Self-Supervised Depth Estimation under Adverse Weather Conditions
by: Wang, Jiyuan, et al.
Published: (2023)

Bridging Clear and Adverse Driving Conditions
by: Shapiro, Yoel, et al.
Published: (2025)

SAM-Driven Weakly Supervised Nodule Segmentation with Uncertainty-Aware Cross Teaching
by: Zhao, Xingyue, et al.
Published: (2024)

WeatherProof: Leveraging Language Guidance for Semantic Segmentation in Adverse Weather
by: Gella, Blake, et al.
Published: (2024)

Enhancing Autonomous Vehicle Perception in Adverse Weather through Image Augmentation during Semantic Segmentation Training
by: Kou, Ethan, et al.
Published: (2024)

Wavelet-Enhanced Desnowing: A Novel Single Image Restoration Approach for Traffic Surveillance under Adverse Weather Conditions
by: Shen, Zihan, et al.
Published: (2025)

SAM-Enhanced Segmentation on Road Datasets: Balancing Critical Classes in Autonomous Driving
by: Tahves, Toomas, et al.
Published: (2026)

SPDA-SAM: A Self-prompted Depth-Aware Segment Anything Model for Instance Segmentation
by: Shang, Yihan, et al.
Published: (2026)

USRNet: Unified Scene Recovery Network for Enhancing Traffic Imaging under Multiple Adverse Weather Conditions
by: Lu, Yuxu, et al.
Published: (2025)

ERUP-YOLO: Enhancing Object Detection Robustness for Adverse Weather Condition by Unified Image-Adaptive Processing
by: Ogino, Yuka, et al.
Published: (2024)

AllWeatherNet:Unified Image Enhancement for Autonomous Driving under Adverse Weather and Lowlight-conditions
by: Qian, Chenghao, et al.
Published: (2024)

TAP: Parameter-efficient Task-Aware Prompting for Adverse Weather Removal
by: Wang, Hanting, et al.
Published: (2025)

Enhancing SAM with Efficient Prompting and Preference Optimization for Semi-supervised Medical Image Segmentation
by: Konwer, Aishik, et al.
Published: (2025)

WeatherGS: 3D Scene Reconstruction in Adverse Weather Conditions via Gaussian Splatting
by: Qian, Chenghao, et al.
Published: (2024)

Towards Generalized Range-View LiDAR Segmentation in Adverse Weather
by: Yang, Longyu, et al.
Published: (2025)

Heuristic Self-Paced Learning for Domain Adaptive Semantic Segmentation under Adverse Conditions
by: Wang, Shiqin, et al.
Published: (2026)

Adverse Weather Conditions Augmentation of LiDAR Scenes with Latent Diffusion Models
by: Matteazzi, Andrea, et al.
Published: (2025)

Optimal Sensor Data Fusion Architecture for Object Detection in Adverse Weather Conditions
by: Pfeuffer, Andreas, et al.
Published: (2018)

WXSOD: A Benchmark for Robust Salient Object Detection in Adverse Weather Conditions
by: Chen, Quan, et al.
Published: (2025)

VLM-Augmented Degradation Modeling for Image Restoration Under Adverse Weather Conditions
by: Shao, Qianyi, et al.
Published: (2025)

SID: Stereo Image Dataset for Autonomous Driving in Adverse Conditions
by: El-Shair, Zaid A., et al.
Published: (2024)

YOLO-Vehicle-Pro: A Cloud-Edge Collaborative Framework for Object Detection in Autonomous Driving under Adverse Weather Conditions
by: Li, Xiguang, et al.
Published: (2024)

Tarot-SAM3: Training-free SAM3 for Any Referring Expression Segmentation
by: Zhang, Weiming, et al.
Published: (2026)

WeatherOcc3D: VLM-Assisted Adverse Weather Aware 3D Semantic Occupancy Prediction
by: Doruk, A. Enes, et al.
Published: (2026)

Unifying Physically-Informed Weather Priors in A Single Model for Image Restoration Across Multiple Adverse Weather Conditions
by: Xu, Jiaqi, et al.
Published: (2026)

Traffic Image Restoration under Adverse Weather via Frequency-Aware Mamba
by: Pan, Liwen, et al.
Published: (2025)

Repurposing SAM for User-Defined Semantics Aware Segmentation
by: Kundu, Rohit, et al.
Published: (2023)