:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wu, Wenhui, Wong, Man Sing, Yu, Xinyu, Shi, Guoqiang, Kwok, Coco Yin Tung, Zou, Kang
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2401.07502
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

OilSAM2: Memory-Augmented SAM2 for Scalable SAR Oil Spill Detection
by: Chen, Shuaiyu, et al.
Published: (2026)

Beyond Segmentation: An Oil Spill Change Detection Framework Using Synthetic SAR Imagery
by: Lai, Chenyang, et al.
Published: (2026)

SAR-Based Marine Oil Spill Detection Using the DeepSegFusion Architecture
by: Yata, Pavan Kumar, et al.
Published: (2026)

Oil Spill Drone: A Dataset of Drone-Captured, Segmented RGB Images for Oil Spill Detection in Port Environments
by: De Kerf, T., et al.
Published: (2024)

Enhancing Cross Domain SAR Oil Spill Segmentation via Morphological Region Perturbation and Synthetic Label-to-SAR Generation
by: Juarez, Andre, et al.
Published: (2025)

Adapting Segment Anything Model for Unseen Object Instance Segmentation
by: Cao, Rui, et al.
Published: (2024)

Promptable Foundation Models for SAR Remote Sensing: Adapting the Segment Anything Model for Snow Avalanche Segmentation
by: Gelato, Riccardo, et al.
Published: (2026)

MedLSAM: Localize and Segment Anything Model for 3D CT Images
by: Lei, Wenhui, et al.
Published: (2023)

Toward Near-Real-Time Marine Oil Spill Detection in SAR Imagery using Quantum-Assisted SVM
by: Strauss, Joseph, et al.
Published: (2026)

Adapting Segment Anything Model for Change Detection in HR Remote Sensing Images
by: Ding, Lei, et al.
Published: (2023)

ClassWise-SAM-Adapter: Parameter Efficient Fine-tuning Adapts Segment Anything to SAR Domain for Semantic Segmentation
by: Pu, Xinyang, et al.
Published: (2024)

Adapting Segment Anything Model to Melanoma Segmentation in Microscopy Slide Images
by: Liu, Qingyuan, et al.
Published: (2024)

RefSAM: Efficiently Adapting Segmenting Anything Model for Referring Video Object Segmentation
by: Li, Yonglin, et al.
Published: (2023)

Oil Spill Segmentation using Deep Encoder-Decoder models
by: Satyanarayana, Abhishek Ramanathapura, et al.
Published: (2023)

Diffusion-based Data Augmentation and Knowledge Distillation with Generated Soft Labels Solving Data Scarcity Problems of SAR Oil Spill Segmentation
by: Moon, Jaeho, et al.
Published: (2024)

Adapting Segment Anything Model to Multi-modal Salient Object Detection with Semantic Feature Fusion Guidance
by: Wang, Kunpeng, et al.
Published: (2024)

Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation
by: Wu, Junde, et al.
Published: (2023)

Oil Spill Cleanup in the Marine Environment: How to Use Current Technology to Restore Oil Spills
by: Ali Kadhim Sallal
Published: (2026)

When Segmentation Meets Hyperspectral Image: New Paradigm for Hyperspectral Image Classification
by: Zhou, Weilian, et al.
Published: (2025)

Quantum Bayesian Networks for Machine Learning in Oil-Spill Detection
by: Siddiqui, Owais Ishtiaq, et al.
Published: (2024)

Adapting Depth Anything to Adverse Imaging Conditions with Events
by: Peng, Shihan, et al.
Published: (2026)

Prompting Segment Anything Model with Domain-Adaptive Prototype for Generalizable Medical Image Segmentation
by: Wei, Zhikai, et al.
Published: (2024)

Perceive Anything: Recognize, Explain, Caption, and Segment Anything in Images and Videos
by: Lin, Weifeng, et al.
Published: (2025)

Analyzing Transformer Models and Knowledge Distillation Approaches for Image Captioning on Edge AI
by: Kwok, Wing Man Casca, et al.
Published: (2025)

Adapting Segment Anything Model for Power Transmission Corridor Hazard Segmentation
by: Chen, Hang, et al.
Published: (2025)

Adapting Segment Anything Model 3 for Concept-Driven Lesion Segmentation in Medical Images: An Experimental Study
by: Xu, Guoping, et al.
Published: (2026)

MapSAM: Adapting Segment Anything Model for Automated Feature Detection in Historical Maps
by: Xia, Xue, et al.
Published: (2024)

Marine Oil Spill Expert Systems (MOSES).
by: Graham, Gerald, et al.
Published: (2004)

ComposeAnything: Composite Object Priors for Text-to-Image Generation
by: Khan, Zeeshan, et al.
Published: (2025)

Adapting the Segment Anything Model During Usage in Novel Situations
by: Schön, Robin, et al.
Published: (2024)

SAM3D: Zero-Shot 3D Object Detection via Segment Anything Model
by: Zhang, Dingyuan, et al.
Published: (2023)

Square‐Wettability Patterned, Recyclable Polyolefin Elastomer Sorbents for Efficient Chemical and Oil Spill Collection
by: Youngmin Choi, et al.
Published: (2025)

Tri-Plane Mamba: Efficiently Adapting Segment Anything Model for 3D Medical Images
by: Wang, Hualiang, et al.
Published: (2024)

SAM3-Adapter: Efficient Adaptation of Segment Anything 3 for Camouflage Object Segmentation, Shadow Detection, and Medical Image Segmentation
by: Chen, Tianrun, et al.
Published: (2025)

DenoDet V2: Phase-Amplitude Cross Denoising for SAR Object Detection
by: Ni, Kang, et al.
Published: (2025)

OSDMamba: Enhancing Oil Spill Detection from Remote Sensing Images Using Selective State Space Model
by: Chen, Shuaiyu, et al.
Published: (2025)

Assessing Environmental Risk of Oil Spills with ERA Acute
by: Stephansen, Cathrine, et al.
Published: (2021)

Outcomes of Oil Spill Remediation Using Thermal Desorption
Published: (2024)

Oil Spill Response: Existing Technologies, Prospects and Perspectives
by: Methmini Dilhara Jayarathna, et al.
Published: (2024)

Expert Systems for Marine Oil Spill Response Operations.
by: Graham, Gerald
Published: (2003)