Cover Image

EDCSSM: Edge Detection with Convolutional State Space Model

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hong, Qinghui, Jiang, Haoyou, Xiao, Pingdan, Du, Sichun, Li, Tao
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Scalable Visual State Space Model with Fractal Scanning
by: Tang, Lv, et al.
Published: (2024)

VADMamba: Exploring State Space Models for Fast Video Anomaly Detection
by: Lyu, Jiahao, et al.
Published: (2025)

A Compact Hybrid Convolution--Frequency State Space Network for Learned Image Compression
by: Pan, Haodong, et al.
Published: (2025)

Understanding Robustness of Visual State Space Models for Image Classification
by: Du, Chengbin, et al.
Published: (2024)

Dynamic Eraser for Guided Concept Erasure in Diffusion Models
by: Gong, Qinghui
Published: (2026)

Edge-Efficient Image Restoration: Transformer Distillation into State-Space Models
by: Miriyala, Srinivas Soumitri, et al.
Published: (2026)

HTD-Mamba: Efficient Hyperspectral Target Detection with Pyramid State Space Model
by: Shen, Dunbin, et al.
Published: (2024)

CausalCLIP: Causally-Informed Feature Disentanglement and Filtering for Generalizable Detection of Generated Images
by: Liu, Bo, et al.
Published: (2025)

DenseGRPO: From Sparse to Dense Reward for Flow Matching Model Alignment
by: Deng, Haoyou, et al.
Published: (2026)

HSIDMamba: Exploring Bidirectional State-Space Models for Hyperspectral Denoising
by: Liu, Yang, et al.
Published: (2024)

MambaIR: A Simple Baseline for Image Restoration with State-Space Model
by: Guo, Hang, et al.
Published: (2024)

Mamba YOLO: A Simple Baseline for Object Detection with State Space Model
by: Wang, Zeyu, et al.
Published: (2024)

Beyond Mamba: Enhancing State-space Models with Deformable Dilated Convolutions for Multi-scale Traffic Object Detection
by: Li, Jun, et al.
Published: (2026)

Leveraging Arbitrary Data Sources for AI-Generated Image Detection Without Sacrificing Generalization
by: He, Qinghui, et al.
Published: (2026)

Dynamic High-frequency Convolution for Infrared Small Target Detection
by: Li, Ruojing, et al.
Published: (2026)

Spatial-Mamba: Effective Visual State Space Models via Structure-aware State Fusion
by: Xiao, Chaodong, et al.
Published: (2024)

AtrousMamaba: An Atrous-Window Scanning Visual State Space Model for Remote Sensing Change Detection
by: Wang, Tao, et al.
Published: (2025)

AyE-Edge: Automated Deployment Space Search Empowering Accuracy yet Efficient Real-Time Object Detection on the Edge
by: Wu, Chao, et al.
Published: (2024)

Combating Pattern and Content Bias: Adversarial Feature Learning for Generalized AI-Generated Image Detection
by: Zhang, Haifeng, et al.
Published: (2026)

OccMamba: Semantic Occupancy Prediction with State Space Models
by: Li, Heng, et al.
Published: (2024)

MambaDETR: Query-based Temporal Modeling using State Space Model for Multi-View 3D Object Detection
by: Ning, Tong, et al.
Published: (2024)

Task-wise Sampling Convolutions for Arbitrary-Oriented Object Detection in Aerial Images
by: Huang, Zhanchao, et al.
Published: (2022)

SuperEdge: Towards a Generalization Model for Self-Supervised Edge Detection
by: Kai, Leng, et al.
Published: (2024)

DiffusionEdge: Diffusion Probabilistic Model for Crisp Edge Detection
by: Ye, Yunfan, et al.
Published: (2024)

A Novel State Space Model with Local Enhancement and State Sharing for Image Fusion
by: Cao, Zihan, et al.
Published: (2024)

Efficient Remote Sensing Change Detection with Change State Space Models
by: Ghazaei, Elman, et al.
Published: (2025)

MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection
by: He, Haoyang, et al.
Published: (2024)

DeRainMamba: A Frequency-Aware State Space Model with Detail Enhancement for Image Deraining
by: Zhu, Zhiliang, et al.
Published: (2025)

MambaVF: State Space Model for Efficient Video Fusion
by: Zhao, Zixiang, et al.
Published: (2026)

Point Cloud Mamba: Point Cloud Learning via State Space Model
by: Zhang, Tao, et al.
Published: (2024)

MVSMamba: Multi-View Stereo with State Space Model
by: Jiang, Jianfei, et al.
Published: (2025)

Few-Shot Object Detection via Spatial-Channel State Space Model
by: Xin, Zhimeng, et al.
Published: (2025)

nnMamba: 3D Biomedical Image Segmentation, Classification and Landmark Detection with State Space Model
by: Gong, Haifan, et al.
Published: (2024)

EasyControlEdge: A Foundation-Model Fine-Tuning for Edge Detection
by: Nakamura, Hiroki, et al.
Published: (2026)

ASBA: A-line State Space Model and B-line Attention for Sparse Optical Doppler Tomography Reconstruction
by: Li, Zhenghong, et al.
Published: (2026)

Beyond Global Scanning: Adaptive Visual State Space Modeling for Salient Object Detection in Optical Remote Sensing Images
by: Ren, Mengyu, et al.
Published: (2025)

XYScanNet: A State Space Model for Single Image Deblurring
by: Liu, Hanzhou, et al.
Published: (2024)

SAM-Based Building Change Detection with Distribution-Aware Fourier Adaptation and Edge-Constrained Warping
by: Li, Yun-Cheng, et al.
Published: (2025)

VmambaIR: Visual State Space Model for Image Restoration
by: Shi, Yuan, et al.
Published: (2024)

Selective Structured State Space for Multispectral-fused Small Target Detection
by: Zhang, Qianqian, et al.
Published: (2025)