This is the official repository for our recent work: PIDNet
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Updated
May 26, 2024 - Python
This is the official repository for our recent work: PIDNet
TensorFlow implementation of a comprehensive comparison of various SSL (Semi-Supervised Learning) approaches in image segmentation, featuring our novel Inconsistency Masks (IM) method.
Camera-Invariant Domain Adaptation (Semantic Segmentation)
Compact Semantic Segmentation and Depth Estimation with Multi-task Learning
MTLA - Multi-Task Learning Archive
Official Detectron2 implementation of DA-RetinaNet of our Image and Vision Computing 2021 work 'An unsupervised domain adaptation scheme for single-stage artwork recognition in cultural sites'
U-Net based PyTorch model for roads segmentation trained on Cityscapes dataset
Repository for "Stochastic Segmentation with Conditional Categorical Diffusion Models" (ICCV 2023)
The official code open source version of BFDA - based on YOLOv5
Detectron2 implementation of DA-Faster R-CNN, Domain Adaptive Faster R-CNN for Object Detection in the Wild
Final Project for Deep Learning Course A.Y. 2022/23. Semantic Segmentation on Cityscapes Dataset
CABiNet: Efficient Context Aggregation Network for Low-Latency Semantic Segmentation (ICRA2021)
Cityscapes to CoCo Format Conversion Tool for Mask-RCNN and Detectron
A pytorch-based real-time segmentation model for autonomous driving
[ICIP 2019] : Official PyTorch implementation of the paper "What's There in The Dark" accepted in IEEE International Conference in Image Processing 2019 (ICIP19) , Taipei, Taiwan.
CS415 - From K-means to Deep Learning
Official re-implementation of the Calibrated Adversarial Refinement model described in the paper "Calibrated Adversarial Refinement for Stochastic Semantic Segmentation"
Corrupt Cityscapes Dataset
Some basic trick about semantic segmentation based on tensorflow & some open datasets
GPU-accelerated Semantic Image Segmentation with PyTorch
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