Minimal reference implementation of recoverability-based boundary classification for complex systems. Non-operational. Descriptive only.

Foreground boundary detection with Deep Layer Aggregation

DeTexture — OBB-based texture boundary extraction from ADE20K with VLM-powered texture analysis

A fast, unsupervised video segmentation tool using PyTorch. It detects action boundaries via feature similarity and refines segments with clustering, requiring no training or labels.

PyTorch boundary detection

An interpretable region-based pattern mining system that incrementally maps LHS feature space to RHS distributions via grid partitioning, clustering, and boundary co-optimization.

image segmentation workflow for Phenome Force 2021

Boundary detection using Probability of Boundary || Implementation and analysis of deep learning architectures such as ResNet, DenseNet, etc.

This Repository consists of implementation of probability based boundary detection algorithm which gives more accurate results than canny edge detection.

we will extract the brain boundaries from the resting state functional magnetic resonance imaging (rs-fMRI) scans

Edge Detection Evaluation and Benchmark

(Under construction) The BSDS dataset for edge detection annotated by @MengyangPu

BGSNet: A boundary-guided Siamese multitask network for semantic change detection from high-resolution remote sensing images

Official implementation of Dense Prediction with Attentive Feature Aggregation, WACV 2023

LDC: Lightweight Dense CNN for Edge DetectionのPythonでのONNX推論サンプル

Implementation of the paper "ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data" in TensorFlow.

A Pytorch implementation of CASENet for the Cityscapes Dataset

[IEEE RAL'24 & IROS'24] Mobile-Seed: Joint Semantic Segmentation and Boundary Detection for Mobile Robots

LDC: Lightweight Dense CNN for Edge Detection