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Boundary Detection

24 papers with code · Computer Vision

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

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Greatest papers with code

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

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

ICML 2017 NVIDIA/nv-wavenet

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

BOUNDARY DETECTION FEATURE ENGINEERING SPEECH SYNTHESIS

Flood-Filling Networks

1 Nov 2016google/ffn

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 SEMANTIC SEGMENTATION

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

17 Jan 2017kmaninis/COB

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 IMAGE CLASSIFICATION OBJECT DETECTION SEMANTIC SEGMENTATION

Recurrent Pixel Embedding for Instance Grouping

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

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 OBJECT PROPOSAL GENERATION SEMANTIC SEGMENTATION

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

4 Sep 2019xavysp/DexiNed

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

BOUNDARY DETECTION EDGE DETECTION

Recursive Training of 2D-3D Convolutional Networks for Neuronal Boundary Detection

NeurIPS 2015 seung-lab/znn-release

Efforts to automate the reconstruction of neural circuits from 3D electron microscopic (EM) brain images are critical for the field of connectomics.

BOUNDARY DETECTION

Large-scale, Fast and Accurate Shot Boundary Detection through Spatio-temporal Convolutional Neural Networks

9 May 2017Tangshitao/ClipShots

Since current datasets are not large enough to train an accurate SBD CNN, we present a new dataset containing more than 3. 5 million frames of sharp and gradual transitions.

BOUNDARY DETECTION OPTICAL FLOW ESTIMATION

Guided learning for weakly-labeled semi-supervised sound event detection

6 Jun 2019Kikyo-16/Sound_event_detection

Instead of designing a single model by considering a trade-off between the two sub-targets, we design a teacher model aiming at audio tagging to guide a student model aiming at boundary detection to learn using the unlabeled data.

AUDIO TAGGING BOUNDARY DETECTION SOUND EVENT DETECTION