https://github.com/BAAI-Brain-Inspired-Group/OPEN-Vis-ControlSD
공식 코드Learning from Pattern Completion: Self-supervised Controllable Generation
Papers with Code 아카이브
Edge Detection
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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Edge Detection is a fundamental image processing technique which involves computing an image gradient to quantify the magnitude and direction of edges in an image. Image gradients are used in various downstream tasks in computer vision such as line detection, feature detection, and image classification.
Source: Artistic Enhancement and Style Transfer of Image Edges using Directional Pseudo-coloring
( Image credit: Kornia )
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Bedrettin-Cetinkaya/RankED
공식 코드RankED: Addressing Imbalance and Uncertainty in Edge Detection Using Ranking-based Losses
https://github.com/Chrisding/sbd-preprocess
공식 코드https://github.com/Chrisding/seal
공식 코드https://github.com/Engineering-Course/CIHP_PGN
공식 코드https://github.com/GuHuangAI/ADM-Public
공식 코드Simultaneous Image-to-Zero and Zero-to-Noise: Diffusion Models with Analytical Image Attenuation
https://github.com/JingZhang617/Scribble_Saliency
공식 코드Weakly-Supervised Salient Object Detection via Scribble Annotations
https://github.com/KevinKecc/SRN
공식 코드SRN: Side-output Residual Network for Object Reflection Symmetry Detection and Beyond
https://github.com/Koukyosyumei/AIJack
공식 코드AFGI: Towards Accurate and Fast-convergent Gradient Inversion Attack in Federated Learning
https://github.com/MengyangPu/RINDNet
공식 코드RINDNet: Edge Detection for Discontinuity in Reflectance, Illumination, Normal and Depth
https://github.com/Miraclelzk/STAR-Edge
공식 코드https://github.com/ProfHubert/Centroid
공식 코드https://github.com/ProfHubert/ICASSP
공식 코드https://github.com/SBrandeis/k-core-embedding
공식 코드About Graph Degeneracy, Representation Learning and Scalability
https://github.com/SeyedAmirTafrishi/LCS_Filter
공식 코드Line-Circle-Square (LCS): A Multilayered Geometric Filter for Edge-Based Detection
https://github.com/Shrajan/AAAI-2022
공식 코드https://github.com/Smart-Agri-DIAG/sdg4ad
공식 코드Synthetic Data Generation for Anomaly Detection on Table Grapes
https://github.com/Star-xing1/SAUGE
공식 코드SAUGE: Taming SAM for Uncertainty-Aligned Multi-Granularity Edge Detection
https://github.com/Tenfleques/pBp-edge-detection
공식 코드A Pseudo-Boolean Polynomials Approach for Image Edge Detection
https://github.com/TheoDpPro/uav-localization
공식 코드Leveraging edge detection and neural networks for better UAV localization
https://github.com/TsaiZinan/CoDER_Project_Code
공식 코드https://github.com/WHUHLX/CATS
공식 코드https://github.com/abhineet123/animal_detection
공식 코드https://github.com/acse-dc1823/spotID
공식 코드Deep Learning for Leopard Individual Identification: An Adaptive Angular Margin Approach
https://github.com/adebayoj/sanity_checks_saliency
공식 코드https://github.com/amirbar/visual_prompting
공식 코드https://github.com/anomalyllm/anomalyllm
공식 코드AnomalyLLM: Few-shot Anomaly Edge Detection for Dynamic Graphs using Large Language Models
https://github.com/arplaboratory/PENet
공식 코드https://github.com/braindatalab/xai-tris
공식 코드https://github.com/byangderek/CCF
공식 코드https://github.com/cair/An-Optimized-Toolbox-for-Advanced-Image-Processing-with-Tsetlin-Machine-Composites
공식 코드An Optimized Toolbox for Advanced Image Processing with Tsetlin Machine Composites
https://github.com/casia-iva-lab/fastsam
공식 코드https://github.com/charliebudd/torch-content-area
공식 코드https://github.com/chengxihan/cgnet-cd
공식 코드https://github.com/conorosully/edge-detection-metrics
공식 코드The Effectiveness of Edge Detection Evaluation Metrics for Automated Coastline Detection
https://github.com/conorosully/swed-edge-detection
공식 코드Automated Coastline Extraction Using Edge Detection Algorithms
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.