Boundary Detection

51 papers with code • 1 benchmarks • 4 datasets

Boundary Detection is a vital part of extracting information encoded in images, allowing for the computation of quantities of interest including density, velocity, pressure, etc.

Source: A Locally Adapting Technique for Boundary Detection using Image Segmentation

Greatest papers with code

Holistically-Nested Edge Detection

tensorpack/tensorpack ICCV 2015

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

Deep Voice: Real-time Neural Text-to-Speech

NVIDIA/nv-wavenet ICML 2017

We present Deep Voice, a production-quality text-to-speech system constructed entirely from deep neural networks.

Boundary Detection Feature Engineering +1

Enhancing Monotonic Multihead Attention for Streaming ASR

hirofumi0810/neural_sp 19 May 2020

For streaming inference, all monotonic attention (MA) heads should learn proper alignments because the next token is not generated until all heads detect the corresponding token boundaries.

Boundary Detection Speech Recognition

Dense Extreme Inception Network: Towards a Robust CNN Model for Edge Detection

xavysp/DexiNed 4 Sep 2019

This dataset has been used for training the proposed approach as well the state-of-the-art algorithms for comparisons.

Boundary Detection Edge Detection

Flood-Filling Networks

google/ffn 1 Nov 2016

State-of-the-art image segmentation algorithms generally consist of at least two successive and distinct computations: a boundary detection process that uses local image information to classify image locations as boundaries between objects, followed by a pixel grouping step such as watershed or connected components that clusters pixels into segments.

Boundary Detection Electron Microscopy +1

Deeply supervised salient object detection with short connections

Andrew-Qibin/DSS CVPR 2017

Recent progress on saliency detection is substantial, benefiting mostly from the explosive development of Convolutional Neural Networks (CNNs).

Boundary Detection RGB Salient Object Detection +3

Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers

lkeab/BCNet CVPR 2021

Segmenting highly-overlapping objects is challenging, because typically no distinction is made between real object contours and occlusion boundaries.

Amodal Instance Segmentation Boundary Detection +4

Convolutional Oriented Boundaries: From Image Segmentation to High-Level Tasks

kmaninis/COB 17 Jan 2017

We present Convolutional Oriented Boundaries (COB), which produces multiscale oriented contours and region hierarchies starting from generic image classification Convolutional Neural Networks (CNNs).

Boundary Detection Contour Detection +3

Recurrent Pixel Embedding for Instance Grouping

aimerykong/Recurrent-Pixel-Embedding-for-Instance-Grouping CVPR 2018

We introduce a differentiable, end-to-end trainable framework for solving pixel-level grouping problems such as instance segmentation consisting of two novel components.

Boundary Detection Instance Segmentation +2