Boundary Detection

103 papers with code • 3 benchmarks • 10 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


Use these libraries to find Boundary Detection models and implementations

Most implemented papers

Holistically-Nested Edge Detection

s9xie/hed 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.

Ridiculously Fast Shot Boundary Detection with Fully Convolutional Neural Networks

Tangshitao/ClipShots_basline 23 May 2017

Shot boundary detection (SBD) is an important component of many video analysis tasks, such as action recognition, video indexing, summarization and editing.

Deeply supervised salient object detection with short connections

houqb/DSS CVPR 2017

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

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

melgharib/DSBD 9 May 2017

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.

TransNet: A deep network for fast detection of common shot transitions

soCzech/TransNet 8 Jun 2019

Shot boundary detection (SBD) is an important first step in many video processing applications.

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.

TransNet V2: An effective deep network architecture for fast shot transition detection

soCzech/TransNetV2 11 Aug 2020

Although automatic shot transition detection approaches are already investigated for more than two decades, an effective universal human-level model was not proposed yet.

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.

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.

Photo-Sketching: Inferring Contour Drawings from Images

zzmshinnosuke/sketch 2 Jan 2019

Edges, boundaries and contours are important subjects of study in both computer graphics and computer vision.