Pytorch implementation of M-LSD: Towards Light-weight and Real-time Line Segment Detection
Pytorch implementation of "M-LSD: Towards Light-weight and Real-time Line Segment Detection"
A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights
A PyTorch implementation of EfficientDet.
Continual Semantic Segmentation via Repulsion-Attraction of Sparse
Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations
Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision
Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision
Towards Light-weight and Real-time Line Segment Detection
M-LSD: Towards Light-weight and Real-time Line Segment Detection
Boundary Patch Refinement for Instance Segmentation
Look Closer to Segment Better: Boundary Patch Refinement for Instance Segmentation (CVPR 2021)
A decoder structure designed for Precise Iris Segmentation and Location
PI-DECODER, a decoder structure designed for Precise Iris Segmentation and Location.
Rank & Sort Loss for Object Detection and Instance Segmentation
Rank & Sort Loss for Object Detection and Instance Segmentation
Gradient-Induced Co-Saliency Detection In Python
[ECCV 2020] Gradient-Induced Co-Saliency Detection
Referring Image Segmentation via Cross-Modal Progressive Comprehension
Code of our CVPR 2020 paper Referring Image Segmentation via Cross-Modal Progressive Comprehension.
A Strong Baseline for Image Semantic Segmentation
This project is an open source semantic segmentation toolbox based on PyTorch.
Colour checker detection with Python
A Python package implementing various colour checker detection algorithms and related utilities.
Dual super-resolution learning for semantic segmentation
Implementation of CVPR 2020 Dual Super-Resolution Learning for Semantic Segmentation
Deep Extreme Cut for object segmentation from extreme points
This is the implementation of our work Deep Extreme Cut (DEXTR), for object segmentation from extreme points.
Foreground Activation Driven Small Object Semantic Segmentation in Large-Scale Remote Sensing Imagery
FactSeg: Foreground Activation Driven Small Object Semantic Segmentation in Large-Scale Remote Sensing Imagery (TGRS)
Hierarchical Multi-Scale Attention for Semantic Segmentation
Nvidia Semantic Segmentation monorepo
Moving Object Segmentation in 3D LiDAR Data
Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data PDF.
Per-Pixel Classification is Not All You Need for Semantic Segmentation
MaskFormer: Per-Pixel Classification is Not All You Need for Semantic Segmentation.
1st place in the Satellite Image Change Detection Challenge hosted by SenseTime
1st place in the Satellite Image Change Detection Challenge hosted by SenseTime.
MRNet：Unsupervised Scene Adaptation with Memory Regularization in vivo
Unsupervised Scene Adaptation with Memory Regularization in vivo
U-Net for brain segmentation in PyTorch
U-Net implementation in PyTorch for FLAIR abnormality segmentation in brain MRI
A training and inference framework focused on dealing with medical images
The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net
Learning Semantic Boundaries from Noisy Annotations
Devil Is in the Edges: Learning Semantic Boundaries from Noisy Annotations
A targeted adversarial example generation method for deep learning segmentation models
This repository contains the implementation of the Adaptive Segmentation Mask Attack
Uncertainty Aware Context Attention for Polyp Segmentation
Official pytorch implementation of UACANet: Uncertainty Aware Context Attention for Polyp Segmentation
Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion
Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion
Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes
This is the unofficial code of Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes.
Polygonal Building Segmentation by Frame Field Learning
This repository contains the code for our fast polygonal building extraction from overhead images pipeline.