:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Owor, Neema Jakisa, Adu-Gyamfi, Yaw, Aboah, Armstrong, Amo-Boateng, Mark
Format:	Preprint
Publié:	2024
Sujets:	Computer Vision and Pattern Recognition
Accès en ligne:	https://arxiv.org/abs/2409.07295
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

A Unified Detection Pipeline for Robust Object Detection in Fisheye-Based Traffic Surveillance
par: Owor, Neema Jakisa, et autres
Publié: (2025)

Prompt-Guided Spatial Understanding with RGB-D Transformers for Fine-Grained Object Relation Reasoning
par: Muturi, Tanner, et autres
Publié: (2025)

Task-Specific Dual-Model Framework for Comprehensive Traffic Safety Video Description and Analysis
par: Kyem, Blessing Agyei, et autres
Publié: (2025)

PaveSync: A Unified and Comprehensive Dataset for Pavement Distress Analysis and Classification
par: Kyem, Blessing Agyei, et autres
Publié: (2025)

3D Object Detection and High-Resolution Traffic Parameters Extraction Using Low-Resolution LiDAR Data
par: Zhang, Linlin, et autres
Publié: (2024)

PaveCap: The First Multimodal Framework for Comprehensive Pavement Condition Assessment with Dense Captioning and PCI Estimation
par: Kyem, Blessing Agyei, et autres
Publié: (2024)

An Improved ResNet50 Model for Predicting Pavement Condition Index (PCI) Directly from Pavement Images
par: Danyo, Andrews, et autres
Publié: (2025)

Context-CrackNet: A Context-Aware Framework for Precise Segmentation of Tiny Cracks in Pavement images
par: Kyem, Blessing Agyei, et autres
Publié: (2025)

Advancing Pavement Distress Detection in Developing Countries: A Novel Deep Learning Approach with Locally-Collected Datasets
par: Kyem, Blessing Agyei, et autres
Publié: (2024)

Vision-Language Foundation Models for Comprehensive Automated Pavement Condition Assessment
par: Kyem, Blessing Agyei, et autres
Publié: (2026)

PaveBench: A Versatile Benchmark for Pavement Distress Perception and Interactive Vision-Language Analysis
par: Li, Dexiang, et autres
Publié: (2026)

Application of 2D Homography for High Resolution Traffic Data Collection using CCTV Cameras
par: Zhang, Linlin, et autres
Publié: (2024)

SAM3-I: Segment Anything with Instructions
par: Li, Jingjing, et autres
Publié: (2025)

A Contextual Analysis of Driver-Facing and Dual-View Video Inputs for Distraction Detection in Naturalistic Driving Environments
par: Dontoh, Anthony, et autres
Publié: (2025)

SAM 3: Segment Anything with Concepts
par: Carion, Nicolas, et autres
Publié: (2025)

From SAM to SAM 2: Exploring Improvements in Meta's Segment Anything Model
par: Geetha, Athulya Sundaresan, et autres
Publié: (2024)

PosSAM: Panoptic Open-vocabulary Segment Anything
par: VS, Vibashan, et autres
Publié: (2024)

RemoteSAM: Towards Segment Anything for Earth Observation
par: Yao, Liang, et autres
Publié: (2025)

X-SAM: From Segment Anything to Any Segmentation
par: Wang, Hao, et autres
Publié: (2025)

Hi-SAM: Marrying Segment Anything Model for Hierarchical Text Segmentation
par: Ye, Maoyuan, et autres
Publié: (2024)

I-MedSAM: Implicit Medical Image Segmentation with Segment Anything
par: Wei, Xiaobao, et autres
Publié: (2023)

SAM Audio: Segment Anything in Audio
par: Shi, Bowen, et autres
Publié: (2025)

Compress Any Segment Anything Model (SAM)
par: Fan, Juntong, et autres
Publié: (2025)

Pixel-Level Pavement Distress Assessment Using Instance Segmentation
par: Dewick, Logan, et autres
Publié: (2026)

FusionSAM: Visual Multi-Modal Learning with Segment Anything
par: Li, Daixun, et autres
Publié: (2024)

Biomedical SAM 2: Segment Anything in Biomedical Images and Videos
par: Yan, Zhiling, et autres
Publié: (2024)

FocSAM: Delving Deeply into Focused Objects in Segmenting Anything
par: Huang, You, et autres
Publié: (2024)

AffordanceSAM: Segment Anything Once More in Affordance Grounding
par: Jiang, Dengyang, et autres
Publié: (2025)

RepViT-SAM: Towards Real-Time Segmenting Anything
par: Wang, Ao, et autres
Publié: (2023)

TinySAM: Pushing the Envelope for Efficient Segment Anything Model
par: Shu, Han, et autres
Publié: (2023)

Black-box Targeted Adversarial Attack on Segment Anything (SAM)
par: Zheng, Sheng, et autres
Publié: (2023)

SAM Struggles in Concealed Scenes -- Empirical Study on Segment Anything
par: Ji, Ge-Peng, et autres
Publié: (2023)

SAQ-SAM: Semantically-Aligned Quantization for Segment Anything Model
par: Zhang, Jing, et autres
Publié: (2025)

OmniSAM: Omnidirectional Segment Anything Model for UDA in Panoramic Semantic Segmentation
par: Zhong, Ding, et autres
Publié: (2025)

Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation
par: Wu, Junde, et autres
Publié: (2023)

WSI-SAM: Multi-resolution Segment Anything Model (SAM) for histopathology whole-slide images
par: Liu, Hong, et autres
Publié: (2024)

A Road-Conditioned Traffic Movie Prediction Network with Spatiotemporal and Structure-Consistent Learning
par: Asamoah, Joshua Kofi, et autres
Publié: (2026)

TS-SAM: Fine-Tuning Segment-Anything Model for Downstream Tasks
par: Yu, Yang, et autres
Publié: (2024)

PolSAM: Polarimetric Scattering Mechanism Informed Segment Anything Model
par: Wang, Yuqing, et autres
Publié: (2024)

UV-SAM: Adapting Segment Anything Model for Urban Village Identification
par: Zhang, Xin, et autres
Publié: (2024)