EVer is a Pytorch-based Python library to simplify the training and inference of the deep learning model in the remote sensing domain.
This is a beta version for research only.
- Common codebase for reproducible research
- Accelerating our Earth Vision research
- Single workflow of "data-module-configs"
pip install ever-betapip install --upgrade git+https://github.com/Z-Zheng/ever.git- (AnyChange) Segment Any Change, arxiv 2024 [
Paper] - (Changen) Scalable Multi-Temporal Remote Sensing Change Data Generation via Simulating Stochastic Change Process, ICCV 2023 [
Paper], [Code] - (ChangeMask) ChangeMask: Deep Multi-task Encoder-Transformer-Decoder Architecture for Semantic Change Detection, ISPRS P&RS 2022. [
Paper] - (ChangeStar) Change is Everywhere: Single-Temporal Supervised Object Change Detection
in Remote Sensing Imagery, ICCV 2021. [
Paper], [Project], [Code] - (ChangeOS) Building damage assessment for rapid disaster response with a deep object-based semantic change detection framework: from natural disasters to man-made disasters, RSE 2021. [
Paper], [Code]
- FarSeg++: Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery, IEEE TPAMI 2023. [
Paper], [Code] - Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery, CVPR 2020. [
Paper], [Code] - Deep multisensor learning for missing-modality all-weather mapping, ISPRS P&RS 2021. [
Paper] - FactSeg: Foreground Activation Driven Small Object Semantic Segmentation in Large-Scale Remote Sensing Imagery, TGRS 2021. [
Paper], [Code] - LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation, NeurIPS 2021 Datasets and Benchmarks. [
Paper], [Code/Dataset]
- FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification, TGRS 2020. [
Paper], [Code]
EVer is released under the Apache License 2.0.
Copyright (c) Zhuo Zheng. All rights reserved.