IEEE

3D Scene Segmentation: A Comprehensive Survey and Open Problems

Abstract: This paper presents a detailed review of recent advancements in 3D indoor scene segmentation driven by deep learning techniques. It provides an overview of existing segmentation models, ...
IEEE

CLIP-to-Seg Distillation for Zero-shot Semantic Segmentation

Abstract: CLIP has greatly advanced zero-shot segmentation by leveraging its strong visual-language association and generalization capability. However, directly adapting CLIP for segmentation often ...
GitHub

Semantic Segmentation in PyTorch

This repo contains a PyTorch an implementation of different semantic segmentation models for different datasets. Note that when using COCO dataset, 164k version is used per default, if 10k is prefered ...

Litert matters: Google’s big bet on on-device AI

Google has announced LiteRT, the universal on-device AI framework, a significant milestone in a time when artificial intelligence is quickly shifting from cloud-based servers to consumers' own devices ...
GitHub

A production-ready implementation of instance segmentation using state-of-the-art models from PyTorch and Hugging Face Transformers.

├── src/ # Source code │ ├── instance_segmentation.py # Core segmentation implementation │ └── data_generator.py # Synthetic data generation ├── web_app/ # Web interface │ └── app.py # Streamlit ...