Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]

Codebase for CVPR2020 A Local-to-Global Approach to Multi-modal Movie Scene Segmentation

[ECCV 2020] Boundary-preserving Mask R-CNN

LDC: Lightweight Dense CNN for Edge Detection

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

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

Edge Detection Evaluation and Benchmark

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

Foreground boundary detection with Deep Layer Aggregation

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

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.

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

PyTorch boundary detection

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

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

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.