Light-Weight RefineNet for Real-Time Semantic Segmentation
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Updated
Jun 21, 2022 - Python
Light-Weight RefineNet for Real-Time Semantic Segmentation
RepGhost: A Hardware-Efficient Ghost Module via Re-parameterization
Nitro-E is a family of text-to-image diffusion models focused on highly efficient training.
Knowledge Distillation Toolkit
[ICCV 2025] IDF: Iterative Dynamic Filtering Networks for Generalizable Image Denoising
경량 한글 문자 탐지 및 인식 API 공개 저장소
LibSA4Py: Light-weight static analysis for extracting type hints and features
Code for the paper Dual-frame Spatio-temporal Feature Modulation for Video Enhancement
koa2-based mosaic eraser server
semantic segmentation framework, pytorch FCN, unet, with self-constructed data iterator which is a light-weight substitute of dataloader+dataset
ShuffleNet V2 with heatmapped landmarks output
Run AI models offline without relying on internet access or cloud infrastructure.
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