The code for "Deep Level Set for Box-supervised Instance Segmentation in Aerial Images".

Last update: Jan 05, 2023

Overview

Deep Levelset for Box-supervised Instance Segmentation in Aerial Images

Wentong Li, Yijie Chen, Wenyu Liu, Jianke Zhu*

This code is based on MMdetection and AerialDetection. The code is coming soon.

Visualization

Instance segmentation results on the iSAID test set with the supervision of box annotations.

Citation

@article{li2021deep,
	title="Deep Level Set for Box-supervised Instance Segmentation in Aerial Images.",
	author="Wentong {Li}, Yijie {Chen}, Wenyu {Liu}, Jianke {Zhu}.",
	journal="arXiv preprint arXiv:2112.03451",
	year="2021"
}

Owner

sunshine.lwt

[email protected]

GitHub Repository

This repository contains code used to audit the stability of personality predictions made by two algorithmic hiring systems

Stability Audit This repository contains code used to audit the stability of personality predictions made by two algorithmic hiring systems, Humantic

4 Oct 27, 2022

Repository for "Exploring Sparsity in Image Super-Resolution for Efficient Inference", CVPR 2021

SMSR Reposity for "Exploring Sparsity in Image Super-Resolution for Efficient Inference" [arXiv] Highlights Locate and skip redundant computation in S

225 Dec 26, 2022

Official implementation of YOGO for Point-Cloud Processing

You Only Group Once: Efficient Point-Cloud Processing with Token Representation and Relation Inference Module By Chenfeng Xu, Bohan Zhai, Bichen Wu, T

67 Dec 20, 2022

Code for "Adversarial Training for a Hybrid Approach to Aspect-Based Sentiment Analysis

HAABSAStar Code for "Adversarial Training for a Hybrid Approach to Aspect-Based Sentiment Analysis". This project builds on the code from https://gith

1 Sep 14, 2020

IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020)

This repo is the official implementation of our paper "Instance Adaptive Self-training for Unsupervised Domain Adaptation". The purpose of this repo is to better communicate with you and respond to y

[email protected]"> 84 Dec 12, 2022

Tgbox-bench - Simple TGBOX upload speed benchmark

TGBOX Benchmark This script will benchmark upload speed to TGBOX storage. Build

1 Jan 09, 2022

In-place Parallel Super Scalar Samplesort (IPS⁴o)

In-place Parallel Super Scalar Samplesort (IPS⁴o) This is the implementation of the algorithm IPS⁴o presented in the paper Engineering In-place (Share

82 Dec 22, 2022

Ladder Variational Autoencoders (LVAE) in PyTorch

Ladder Variational Autoencoders (LVAE) PyTorch implementation of Ladder Variational Autoencoders (LVAE) [1]: where the variational distributions q at

63 Dec 22, 2022

ICCV2021: Code for 'Spatial Uncertainty-Aware Semi-Supervised Crowd Counting'

14 May 13, 2022

Gif-caption - A straightforward GIF Captioner written in Python

Broksy's GIF Captioner Have you ever wanted to easily caption a GIF without havi

3 Apr 09, 2022

MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification

MixText This repo contains codes for the following paper: Jiaao Chen, Zichao Yang, Diyi Yang: MixText: Linguistically-Informed Interpolation of Hidden

309 Dec 12, 2022

Code accompanying the paper on "An Empirical Investigation of Domain Generalization with Empirical Risk Minimizers" published at NeurIPS, 2021

Code for "An Empirical Investigation of Domian Generalization with Empirical Risk Minimizers" (NeurIPS 2021) Motivation and Introduction Domain Genera

15 Dec 27, 2022

Calibrate your listeners! Robust communication-based training for pragmatic speakers. Findings of EMNLP 2021.

Calibrate your listeners! Robust communication-based training for pragmatic speakers Rose E. Wang, Julia White, Jesse Mu, Noah D. Goodman Findings of

3 Apr 02, 2022

The official implementation of NeMo: Neural Mesh Models of Contrastive Features for Robust 3D Pose Estimation [ICLR-2021]. https://arxiv.org/pdf/2101.12378.pdf

NeMo: Neural Mesh Models of Contrastive Features for Robust 3D Pose Estimation [ICLR-2021] Release Notes The offical PyTorch implementation of NeMo, p

76 Nov 23, 2022