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

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

A Pytorch implementation of CASENet for the Cityscapes Dataset

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

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

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

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

Edge Detection Evaluation and Benchmark

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

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

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.

Foreground boundary detection with Deep Layer Aggregation

PyTorch boundary 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.