Papers Edge Detection
“Edge Detection” 태그가 달린 논문 554편 · 필터 해제
Enhanced Deformable Convolution with Center-invariant Offset and Edge-aware Mask
Deformable convolution networks have recently become popular for many computer vision tasks, especially for semantic segmentation, because of their exceptional capabilities in dynamic spatial modeling. However, due to th…
Semantic SegmentationImage ClassificationEdge DetectionAI-Native Closed-Loop Security for 6G-Enabled Cyber-Physical Systems: From Edge Detection to Network-Wide Mitigation
In sixth-generation (6G) networks, billions of cyber-physical systems (CPSs) - autonomous vehicles, smart grids, industrial robots, and remote-surgical equipment - will run over ultra-reliable low-latency slices, collaps…
Autonomous VehiclesFederated LearningAnomaly DetectionEdge DetectionD2-CDIG: Controlled Diffusion Remote Sensing Image Generation with Dual Priors of DEM and Cloud-Fog
Remote sensing image generation provides a reliable data foundation for remote sensing large models and downstream tasks. However, existing controllable remote sensing image generation methods typically rely on tradition…
Image GenerationEdge Detection$\mathcal{B}^{3}$-Net: Controlled Posterior Bridge Learning for Multi-Task Dense Prediction
Multi-task dense prediction solves complementary pixel-level tasks in a unified model, such as semantic segmentation, depth estimation, surface normal estimation, and edge detection. Existing decoder-side interactions us…
Semantic SegmentationDepth EstimationEdge DetectionSpecEdit: Training-Free Acceleration for Diffusion based Image Editing via Semantic Locking
Diffusion-based image editing offers strong semantic controllability, but remains computationally expensive due to iterative high-resolution denoising over all spatial tokens. Dynamic-resolution sampling reduces this cos…
Edge DetectionImage EditingQuantum Gradient-Based Approach for Edge and Corner Detection Using Sobel Kernels
Edge detection refers to identifying points in a digital image where intensity changes sharply, indicating object boundaries or structural features. Corners are locations where gray-level intensity changes abruptly in mu…
Object TrackingEdge DetectionAlmost for Free: Crafting Adversarial Examples with Convolutional Image Filters
Adversarial examples in machine learning are typically generated using gradients, obtained either directly through access to the model or approximated via queries to it. In this paper, we propose a much simpler approach …
Edge DetectionGraph-augmented Segmentation of Complex Shapes in Laser Powder bed Fusion for Enhanced In Situ Inspection
The technological maturity of in situ inspection and monitoring methods in additive manufacturing is steadily increasing, enabling more efficient and practical qualification procedures. In this context, image segmentatio…
Graph Neural NetworkImage SegmentationEdge DetectionGAZE: Grounded Agentic Zero-shot Evaluation with Viewer-Level Tools and Literature Retrieval on Rare Brain MRI
Vision-language models (VLMs) read an image and produce text in a single forward pass, whereas radiologists typically inspect an image several times and consult the literature before writing a report. We introduce GAZE (…
Edge DetectionOne Shot Learning for Edge Detection on Point Clouds
Each scanner possesses its unique characteristics and exhibits its distinct sampling error distribution. Training a network on a dataset that includes data collected from different scanners is less effective than trainin…
One-Shot LearningEdge DetectionPoint CloudsEdgeFormer: local patch-based edge detection transformer on point clouds
Edge points on 3D point clouds can clearly convey 3D geometry and surface characteristics, therefore, edge detection is widely used in many vision applications with high industrial and commercial demands. However, the fi…
Edge DetectionPoint CloudsSynthPID: P&ID digitization from Topology-Preserving Synthetic Data
Automating the digitization of Piping and Instrumentation Diagrams (P&IDs) into structured process graphs would unlock significant value in plant operations, yet progress is bottlenecked by a fundamental data problem: en…
Edge DetectionFlowExtract: Procedural Knowledge Extraction from Maintenance Flowcharts
Maintenance procedures in manufacturing facilities are often documented as flowcharts in static PDFs or scanned images. They encode procedural knowledge essential for asset lifecycle management, yet inaccessible to moder…
Edge DetectionOptimized Weighted Voting System for Brain Tumor Classification Using MRI Images
The accurate classification of brain tumors from MRI scans is essential for effective diagnosis and treatment planning. This paper presents a weighted ensemble learning approach that combines deep learning and traditiona…
Brain Tumor ClassificationEnsemble LearningEdge DetectionAmped: Adaptive Multi-stage Non-edge Pruning for Edge Detection
Edge detection is a fundamental image analysis task that underpins numerous high-level vision applications. Recent advances in Transformer architectures have significantly improved edge quality by capturing long-range de…
Edge DetectionMEMO: Human-like Crisp Edge Detection Using Masked Edge Prediction
Learning-based edge detection models trained with cross-entropy loss often suffer from thick edge predictions, which deviate from the crisp, single-pixel annotations typically provided by humans. While previous approache…
Edge DetectionAn approximate graph elicits detonation lattice
This study presents a novel algorithm based on graph theory for the precise segmentation and measurement of detonation cells from 3D pressure traces, termed detonation lattices, addressing the limitations of manual and p…
Edge DetectionMatchED: Crisp Edge Detection Using End-to-End, Matching-based Supervision
Generating crisp, i.e., one-pixel-wide, edge maps remains one of the fundamental challenges in edge detection, affecting both traditional and learning-based methods. To obtain crisp edges, most existing approaches rely o…
Edge DetectionSPRITETOMESH: Automatic Mesh Generation for 2D Skeletal Animation Using Learned Segmentation and Contour-Aware Vertex Placement
We present SPRITETOMESH, a fully automatic pipeline for converting 2D game sprite images into triangle meshes compatible with skeletal animation frameworks such as Spine2D. Creating animation-ready meshes is traditionall…
Edge DetectionMulti-Modal Monocular Endoscopic Depth and Pose Estimation with Edge-Guided Self-Supervision
Monocular depth and pose estimation play an important role in the development of colonoscopy-assisted navigation, as they enable improved screening by reducing blind spots, minimizing the risk of missed or recurrent lesi…
Self-Supervised LearningDepth EstimationPose EstimationEdge Detection