nips14_loc_seg_testonly
Object segmentation algorithm
An implementation of object segmentation using computer vision techniques on images from the NIPS 2014 challenge.
Object Segmentation (NIPS 2014)
25 stars
4 watching
18 forks
Language: C++
last commit: almost 10 years ago Related projects:
Repository | Description | Stars |
---|---|---|
| A Matlab implementation of simultaneous object detection and segmentation using deep learning techniques. | 96 |
| Monorepo implementing PyTorch-based neural network architecture for image segmentation | 1,787 |
| An open-source implementation of an image segmentation model that combines background removal and object detection capabilities. | 1,484 |
| Develops an object segmentation algorithm to detect camouflaged objects in images with varying backgrounds and contexts. | 20 |
| Develops a system to detect, segment, and rank camouflaged objects in images. | 74 |
| Develops an algorithm to segment camouflaged objects in images using a neural network architecture called Anabranch Network. | 4 |
| Custom image segmentation implementation using deep learning with Lua and Torch | 37 |
| Reimplementation of a neural network model for conditional segmentation of ambiguous images | 548 |
| Implementations of deep learning architectures for semantic segmentation of images in various datasets. | 6 |
| A deep learning-based semantic segmentation pipeline using the Catalyst framework. | 20 |
| A fast and robust algorithm to segment 3D point clouds generated by Velodyne sensors into objects. | 1,212 |
| This code implements a neural network architecture designed to perform semantic segmentation in computer vision tasks. | 920 |
| This project provides an implementation of an algorithm for optimal segmentation of 3D point clouds from LiDAR scans | 23 |
| An object detection technique using bounding box regression and uncertainty estimation to improve accurate detection results | 367 |
| A PyTorch implementation of a deep learning model for semantic image segmentation | 1,598 |