fashion-segmentation
Entity
| fashion-segmentation | Entity | |
|---|---|---|
| 1 | 2 | |
| 33 | 667 | |
| - | 2.2% | |
| 0.0 | 6.9 | |
| over 1 year ago | 5 months ago | |
| Python | Jupyter Notebook | |
| - | GNU General Public License v3.0 or later |
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fashion-segmentation
Entity
- Open-world entity segmentation: eliminates the thing-stuff distinction!
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[R] Open-World Entity Segmentation (Better dense image segmentation without labels)
Abstract: We introduce a new image segmentation task, termed Entity Segmentation (ES) with the aim to segment all visual entities in an image without considering semantic category labels. It has many practical applications in image manipulation/editing where the segmentation mask quality is typically crucial but category labels are less important. In this setting, all semantically-meaningful segments are equally treated as categoryless entities and there is no thing-stuff distinction. Based on our unified entity representation, we propose a center-based entity segmentation framework with two novel modules to improve mask quality. Experimentally, both our new task and framework demonstrate superior advantages as against existing work. In particular, ES enables the following: (1) merging multiple datasets to form a large training set without the need to resolve label conflicts; (2) any model trained on one dataset can generalize exceptionally well to other datasets with unseen domains. Our code is made publicly available at this https URL.
What are some alternatives?
PixelLib - Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/
rankseg - [JMLR 2023] RankSEG: A consistent ranking-based framework for segmentation
pix2pix - This project uses a conditional generative adversarial network (cGAN) named Pix2Pix for the Image to image translation task.
flying-guide-dog - Official implementation of "Flying Guide Dog: Walkable Path Discovery for the Visually Impaired Utilizing Drones and Transformer-based Semantic Segmentation", IEEE ROBIO 2021
SEAM-Match-RCNN - Official code of paper: MovingFashion: a Benchmark for the Video-to-Shop Challenge
mask-rcnn - Mask-RCNN training and prediction in MATLAB for Instance Segmentation
caer - High-performance Vision library in Python. Scale your research, not boilerplate.
InteractiveAnnotation - Interactive Annotation using Segment Anything for fast and accurate segmentation
mmfashion - Open-source toolbox for visual fashion analysis based on PyTorch
Open3D-ML - An extension of Open3D to address 3D Machine Learning tasks
AgML - AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.