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Edge Detection

19 papers with code · Computer Vision

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Holistically-Nested Edge Detection

ICCV 2015 tensorpack/tensorpack

We develop a new edge detection algorithm that tackles two important issues in this long-standing vision problem: (1) holistic image training and prediction; and (2) multi-scale and multi-level feature learning.

BOUNDARY DETECTION EDGE DETECTION

Kornia: an Open Source Differentiable Computer Vision Library for PyTorch

5 Oct 2019arraiyopensource/kornia

This work presents Kornia -- an open source computer vision library which consists of a set of differentiable routines and modules to solve generic computer vision problems.

CALIBRATION EDGE DETECTION

Richer Convolutional Features for Edge Detection

CVPR 2017 yun-liu/rcf

Using VGG16 network, we achieve \sArt results on several available datasets.

EDGE DETECTION

Instance-level Human Parsing via Part Grouping Network

ECCV 2018 Engineering-Course/CIHP_PGN

Instance-level human parsing towards real-world human analysis scenarios is still under-explored due to the absence of sufficient data resources and technical difficulty in parsing multiple instances in a single pass.

EDGE DETECTION HUMAN PARSING HUMAN PART SEGMENTATION REPRESENTATION LEARNING

Bi-Directional Cascade Network for Perceptual Edge Detection

CVPR 2019 pkuCactus/BDCN

Exploiting multi-scale representations is critical to improve edge detection for objects at different scales.

EDGE DETECTION

Dynamic Feature Fusion for Semantic Edge Detection

25 Feb 2019Lavender105/DFF

In this work, we propose a novel dynamic feature fusion strategy that assigns different fusion weights for different input images and locations adaptively.

EDGE DETECTION

CASENet: Deep Category-Aware Semantic Edge Detection

CVPR 2017 Lavender105/DFF

To this end, we propose a novel end-to-end deep semantic edge learning architecture based on ResNet and a new skip-layer architecture where category-wise edge activations at the top convolution layer share and are fused with the same set of bottom layer features.

EDGE DETECTION OBJECT PROPOSAL GENERATION SEMANTIC SEGMENTATION

Simultaneous Edge Alignment and Learning

ECCV 2018 Chrisding/seal

Edge detection is among the most fundamental vision problems for its role in perceptual grouping and its wide applications.

EDGE DETECTION REPRESENTATION LEARNING

Object Contour Detection with a Fully Convolutional Encoder-Decoder Network

CVPR 2016 Raj-08/tensorflow-object-contour-detection

We develop a deep learning algorithm for contour detection with a fully convolutional encoder-decoder network.

CONTOUR DETECTION EDGE DETECTION