boundary-detection

lkeab/BCNet

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

anyirao/SceneSeg

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

hustvl/BMaskR-CNN

[ECCV 2020] Boundary-preserving Mask R-CNN

xavysp/LDC

LDC: Lightweight Dense CNN for Edge Detection

WHU-USI3DV/Mobile-Seed

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

Chrisding/seal

Code for Simultaneous Edge Alignment and Learning (SEAL)

anirudh-chakravarthy/CASENet

A Pytorch implementation of CASENet for the Cityscapes Dataset

aimerykong/Pixel-Attentional-Gating

Pixel Attentional Gating for Parsimonious Per-Pixel Labeling

Akhilesh64/ResUnet-a

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

GuoxiaWang/DOOBNet

Caffe implementation of DOOBNet https://arxiv.org/abs/1806.03772

keineahnung2345/digital-image-processing-cpp

cpp implementation for algorithms in the book "digital image processing and computer vision"("数字图像处理与机器视觉-Visual C++与Matlab实现")

Kazuhito00/LDC-ONNX-Sample

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

SysCV/dla-afa

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

ai4ce/BAGSFit

Primitive Fitting Using Deep Boundary Aware Geometric Segmentation

xavysp/BRIND

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

haruishi43/py-edge-eval

Edge Detection Evaluation and Benchmark

long123524/BGSNet

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

stellarloop/video2text

Python API & command-line tool to easily transcribe speech-based video files into clean text

stressGC/food-deep-learning-detection

Deep learning project based on the Inception v2 model. Recognises 21 different classes based on images

ameli/extract-boundary

Extract boundary of 2D grids

iamsakil/BoundaryTrackingMATLAB

Motion based object tracking & boundary prediction using MATLAB

sjyothul/extracting-brain-boundaries-from-rs-fMRI-data

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

deepakjayaprakash/Image-Processing

Color Pop and Boundary Detection

heisenberg141/Probability-Based-Boundary-Detection

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

JayeshSuryavanshi/Computer-Vision-Projects

Projects developed as a part of Computer Vision and Image Processing

latent-pixel/Alohomora

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

suryaphysics/Edge-Detection-using-directional-gradients

This is a MATLAB demo to elaborate the idea of boundary tracing objects in image using directional gradients

wpbonelli/find-ufos

image segmentation workflow for Phenome Force 2021

myahyavar/UrbanSceneUnderstanding

Boundary detection for self-driving cars using U-Net

vijayvee/pytorch-boundaries

PyTorch boundary detection

Abhishek-Nalawade/PbLite-Boundary-Detection

haruishi43/boundary_detection

Semantic Boundary Detection

iekolvakh/rsc-boundary-marker

🔍 Visualize React's `'use client'` boundaries with clear indicators, enhancing your code clarity and improving your development workflow.

Meet2304/Pattern-Recognition

A hands-on playground for Pattern Recognition — exploring edges, boundaries, and dimensions with Python. From Canny curves to PCA plots, this repo turns theory into experiments you can see.

rigved-sanku/Edge-Detection

This project involves developing a simplified boundary detection algorithm that combines texture, brightness, and color gradients with classical edge detection methods like Sobel and Canny. The final boundary map is generated by fusing these feature gradients with traditional edge detection methods for more robust and accurate edge detection.