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/arraiyopensource/torchgeometry
Kornia: an Open Source Differentiable Computer Vision Library for PyTorch
https://github.com/arsenal9971/shearlet_semantic_edge
https://github.com/assiaben/hed
https://github.com/bdecost/pixelnet
PixelNet: Representation of the pixels, by the pixels, and for the pixels
https://github.com/bluecoderbot/hed-master
https://github.com/chaitravi-ce/Edge-Detection-Using-ML
Dense Extreme Inception Network: Towards a Robust CNN Model for Edge Detection
https://github.com/code-implementation1/Code4/tree/main/hed
HED-UNet: Combined Segmentation and Edge Detection for Monitoring the Antarctic Coastline
https://github.com/daovietanhuet/ContourDetection
Object Contour Detection with a Fully Convolutional Encoder-Decoder Network
https://github.com/eunchankang/ios_HEDfilter
https://github.com/falreis/hed-rcf-cuda
https://github.com/fcUalberta/tless_edge_based
https://github.com/gabinsane/multi-vaes-in-robotics
Multimodal Generative Models for Scalable Weakly-Supervised Learning
https://github.com/gabinsane/multimodal-vae-comparison
Multimodal Generative Models for Scalable Weakly-Supervised Learning
https://github.com/jendawkins/saliencySanity
https://github.com/jimeiyang/objectContourDetector
Object Contour Detection with a Fully Convolutional Encoder-Decoder Network
https://github.com/kevinchristensen1/EdgeDirectVO
https://github.com/lijiaman/CASENet
https://github.com/manyids2/kornia
Kornia: an Open Source Differentiable Computer Vision Library for PyTorch
https://github.com/matt-baugh/pytorch-poisson-image-editing
Fast and Optimal Laplacian Solver for Gradient-Domain Image Editing using Green Function Convolution
https://github.com/meteorshowers/RCF-pytorch
https://github.com/meteorshowers/hed-pytorch
https://github.com/mhw32/multimodal-vae-public
Multimodal Generative Models for Scalable Weakly-Supervised Learning
https://github.com/milongo/CASENet
https://github.com/moabitcoin/holy-edge
https://github.com/o-evgeny/MRCNN_DeepFashion2
Faster Training of Mask R-CNN by Focusing on Instance Boundaries
https://github.com/pksvision/Deep-WaveNet-Underwater-Image-Restoration
Kornia: an Open Source Differentiable Computer Vision Library for PyTorch
https://github.com/pytorch/captum
https://github.com/senliuy/Keras_HED_with_model
https://github.com/shayandaneshvar/gui-element-detection
https://github.com/sniklaus/pytorch-hed
https://github.com/tensorpack/tensorpack/tree/master/examples/HED
https://github.com/txyugood/hed
https://github.com/wangxiao5791509/cmSalGAN_PyTorch
\emph{cm}SalGAN: RGB-D Salient Object Detection with Cross-View Generative Adversarial Networks
https://github.com/xavysp/LDC
https://github.com/xavysp/MBIPED
Dense Extreme Inception Network: Towards a Robust CNN Model for Edge Detection
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.