:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Xu, Cong, Luo, Pu, Li, Yumei, Xue, Boyou
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	https://arxiv.org/abs/2605.27962
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather
di: Yang, Longyu, et al.
Pubblicazione: (2025)

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

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

SIGMA: Bridging Structural and Distributional Gaps for Vision Foundation Model Adaptation
di: Xiong, Lingyu, et al.
Pubblicazione: (2026)

A Two-Stage Adverse Weather Semantic Segmentation Method for WeatherProof Challenge CVPR 2024 Workshop UG2+
di: Wang, Jianzhao, et al.
Pubblicazione: (2024)

A Simple Recipe for Language-guided Domain Generalized Segmentation
di: Fahes, Mohammad, et al.
Pubblicazione: (2023)

V2X-DGW: Domain Generalization for Multi-agent Perception under Adverse Weather Conditions
di: Li, Baolu, et al.
Pubblicazione: (2024)

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

Bridge the Gap Between Visual and Linguistic Comprehension for Generalized Zero-shot Semantic Segmentation
di: Guo, Xiaoqing, et al.
Pubblicazione: (2025)

Enhancing Self-Driving Segmentation in Adverse Weather Conditions: A Dual Uncertainty-Aware Training Approach to SAM Optimization
di: Ravindran, Dharsan, et al.
Pubblicazione: (2025)

RecipeGen: A Benchmark for Real-World Recipe Image Generation
di: Zhang, Ruoxuan, et al.
Pubblicazione: (2025)

SemiDDM-Weather: A Semi-supervised Learning Framework for All-in-one Adverse Weather Removal
di: Long, Fang, et al.
Pubblicazione: (2024)

WM-MoE: Weather-aware Multi-scale Mixture-of-Experts for Blind Adverse Weather Removal
di: Luo, Yulin, et al.
Pubblicazione: (2023)

UniMix: Towards Domain Adaptive and Generalizable LiDAR Semantic Segmentation in Adverse Weather
di: Zhao, Haimei, et al.
Pubblicazione: (2024)

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

Multi-Echo Denoising in Adverse Weather
di: Seppänen, Alvari, et al.
Pubblicazione: (2023)

Rethinking Data Augmentation for Robust LiDAR Semantic Segmentation in Adverse Weather
di: Park, Junsung, et al.
Pubblicazione: (2024)

A Diff-Attention Aware State Space Fusion Model for Remote Sensing Classification
di: Ma, Wenping, et al.
Pubblicazione: (2025)

GoodSAM++: Bridging Domain and Capacity Gaps via Segment Anything Model for Panoramic Semantic Segmentation
di: Zhang, Weiming, et al.
Pubblicazione: (2024)

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

Omni-Weather: A Unified Multimodal Model for Weather Radar Understanding and Generation
di: Zhou, Zhiwang, et al.
Pubblicazione: (2025)

ReviveDiff: A Universal Diffusion Model for Restoring Images in Adverse Weather Conditions
di: Huang, Wenfeng, et al.
Pubblicazione: (2024)

SemanticBridge - A Dataset for 3D Semantic Segmentation of Bridges and Domain Gap Analysis
di: Kellner, Maximilian, et al.
Pubblicazione: (2025)

GridFormer: Residual Dense Transformer with Grid Structure for Image Restoration in Adverse Weather Conditions
di: Wang, Tao, et al.
Pubblicazione: (2023)

WeatherBench: A Real-World Benchmark Dataset for All-in-One Adverse Weather Image Restoration
di: Guan, Qiyuan, et al.
Pubblicazione: (2025)

WeatherRemover: All-in-one Adverse Weather Removal with Multi-scale Feature Map Compression
di: Qu, Weikai, et al.
Pubblicazione: (2026)

RecipeGen: A Step-Aligned Multimodal Benchmark for Real-World Recipe Generation
di: Zhang, Ruoxuan, et al.
Pubblicazione: (2025)

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

GoodSAM: Bridging Domain and Capacity Gaps via Segment Anything Model for Distortion-aware Panoramic Semantic Segmentation
di: Zhang, Weiming, et al.
Pubblicazione: (2024)

Earth-Adapter: Bridge the Geospatial Domain Gaps with Mixture of Frequency Adaptation
di: Hu, Xiaoxing, et al.
Pubblicazione: (2025)

SynWeather: Weather Observation Data Synthesis across Multiple Regions and Variables via a General Diffusion Transformer
di: Xu, Kaiyi, et al.
Pubblicazione: (2025)

Bridging the Intent Gap: Knowledge-Enhanced Visual Generation
di: Cheng, Yi, et al.
Pubblicazione: (2024)

Retrieval Augmented Recipe Generation
di: Liu, Guoshan, et al.
Pubblicazione: (2024)

Fourier Domain Adaptation for Traffic Light Detection in Adverse Weather
di: Gakhar, Ishaan, et al.
Pubblicazione: (2024)

Adverse Weather Optical Flow: Cumulative Homogeneous-Heterogeneous Adaptation
di: Zhou, Hanyu, et al.
Pubblicazione: (2024)

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

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

Bridging the Gap: Doubles Badminton Analysis with Singles-Trained Models
di: Baek, Seungheon, et al.
Pubblicazione: (2025)

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