About

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

Benchmarks

No evaluation results yet. Help compare methods by submit evaluation metrics.

Subtasks

Datasets

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

Enhancing Monotonic Multihead Attention for Streaming ASR

19 May 2020hirofumi0810/neural_sp

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

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

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 ELECTRON MICROSCOPY 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

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

Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers

23 Mar 2021lkeab/BCNet

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

AMODAL INSTANCE SEGMENTATION BOUNDARY DETECTION OCCLUSION HANDLING REAL-TIME INSTANCE SEGMENTATION SEMANTIC SEGMENTATION