Pytorch implementation of "M-LSD: Towards Light-weight and Real-time Line Segment Detection"
Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations
This is the implementation of our work Deep Extreme Cut (DEXTR), for object segmentation from extreme points.
FactSeg: Foreground Activation Driven Small Object Semantic Segmentation in Large-Scale Remote Sensing Imagery (TGRS)
Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data PDF.
The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net
Official pytorch implementation of UACANet: Uncertainty Aware Context Attention for Polyp Segmentation
This is the unofficial code of Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes.