https://github.com/yunfan1202/NEF_code
공식 코드NEF: Neural Edge Fields for 3D Parametric Curve Reconstruction from Multi-view Images
Papers with Code 아카이브
Edge Detection
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 평가표
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- 보존된 평가 기록
- 27
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/yunfan1202/STEdge
공식 코드STEdge: Self-training Edge Detection with Multi-layer Teaching and Regularization
https://github.com/zhoucx117/uaed
공식 코드The Treasure Beneath Multiple Annotations: An Uncertainty-aware Edge Detector
https://github.com/zhuoinoulu/pidinet
공식 코드https://gitlab.com/UnBVision/edgenet
공식 코드EdgeNet: Semantic Scene Completion from a Single RGB-D Image
https://gitlab.com/mipl/mtl-ss
공식 코드Empirical Study of Multi-Task Hourglass Model for Semantic Segmentation Task
https://dagshub.com/Bharat-mtr/DeepFlux
https://github.com/2023-MindSpore-1/ms-code-214/tree/main/hed
HED-UNet: Combined Segmentation and Edge Detection for Monitoring the Antarctic Coastline
https://github.com/2023-MindSpore-4/Code-5/tree/main/hed
HED-UNet: Combined Segmentation and Edge Detection for Monitoring the Antarctic Coastline
https://github.com/AndreKelm/RefineContourNet
https://github.com/Chrisding/cityscapes-preprocess
https://github.com/Diooooo/Reimplement-HED
https://github.com/FlashTek/mask-rcnn-edge-agreement-loss
Faster Training of Mask R-CNN by Focusing on Instance Boundaries
https://github.com/IVRL/MulT
https://github.com/Lavender105/DFF
https://github.com/Li-yachuan/DDN
https://github.com/Mind23-2/MindCode-3/tree/main/hed
https://github.com/MindSpore-paper-code-3/code4/tree/main/hed
HED-UNet: Combined Segmentation and Edge Detection for Monitoring the Antarctic Coastline
https://github.com/MistyNight/AdaptiveDVO
https://github.com/NatiOfir/DeepFaintEdges
Multi-scale Processing of Noisy Images using Edge Preservation Losses
https://github.com/NatiOfir/FaintCurvedEdgeDetection
https://github.com/NatiOfir/FaintStraightEdgeDetection
https://github.com/NatiOfir/FastEdgesCpp
https://github.com/NatiOfir/TrianglesEdgeDetection
https://github.com/Raj-08/tensorflow-object-contour-detection
Object Contour Detection with a Fully Convolutional Encoder-Decoder Network
https://github.com/Shubhambindal2017/Unoffical-Implementation-of-GRAD-CAM-with-Sanity-Checks
https://github.com/USTCzzl/Deecamp27
Bi-Directional Cascade Network for Perceptual Edge Detection
https://github.com/YugeTen/QMVAE-mmdgm
Multimodal Generative Models for Scalable Weakly-Supervised Learning
https://github.com/YukangWang/DeepFlux
https://github.com/a-nau/Plane-Segmentation-Refinement
Dense Extreme Inception Network: Towards a Robust CNN Model for Edge Detection
https://github.com/abenbihi/hed
https://github.com/adam-mehdi/MuarAugment
Kornia: an Open Source Differentiable Computer Vision Library for PyTorch
https://github.com/ajinkya933/understanding-tensorflow-graph
https://github.com/alessandrozamberletti/docdetect
https://github.com/anirudh-chakravarthy/CASENet
https://github.com/anishacharya/Image-Segmentation-FDOG-TRW
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.