Learning Rotation-Invariant Convolutional Neural Networks for Object Detection in VHR Optical Remote Sensing Images
☆31Aug 1, 2019Updated 6 years ago
Alternatives and similar repositories for RICNN_GongCheng_CVPR2015
Users that are interested in RICNN_GongCheng_CVPR2015 are comparing it to the libraries listed below
Sorting:
- Some object detection codes for DOTA dataset☆25Sep 29, 2019Updated 6 years ago
- Detection of Multiclass Objects in Optical Remote Sensing Images☆19Aug 2, 2019Updated 6 years ago
- Implementation of the paper "MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification".☆10Apr 2, 2018Updated 7 years ago
- apply deeplabv3+ into remote sensing field, especially for semantic segmentation.☆14Nov 22, 2019Updated 6 years ago
- The Tensorflow implement of the DHCNet☆11Aug 4, 2018Updated 7 years ago
- Code for C3-SemiSeg: Contrastive Semi-supervised Segmentation via Cross-set Learning and Dynamic Class-balancing☆18Oct 12, 2021Updated 4 years ago
- A semi-weakly supervised object detection technique based on monte carlo sampling for pseudo GT boxes☆12Apr 10, 2022Updated 3 years ago
- An official implementation of paper "Data-Uncertainty Guided Multi-Phase Learning for Semi-supervised Object Detection"☆15Mar 12, 2022Updated 3 years ago
- Semantic Segmentation Network with Spatial and Channel Attention Mechanism for High-Resolution Remote Sensing Images☆97May 2, 2020Updated 5 years ago
- Codes for Learning an Invariant and Equivariant Network for Weakly Supervised Object Detection☆20Sep 12, 2022Updated 3 years ago
- Deep-learning applied to semantic segmentation of remote sensing data☆22Oct 8, 2019Updated 6 years ago
- Object detection and instance segmentation dataset for VHR remote sensing images further marked on the NWPU VHR-10 dataset and SSDD datas…☆136Mar 20, 2020Updated 5 years ago
- paper：Three-dimensional densely connected convolutional network for hyperspectral remote sensing image classification☆47May 19, 2019Updated 6 years ago
- ☆23Jun 25, 2023Updated 2 years ago
- UWSOD: Toward Fully-Supervised-Level Capacity Weakly Supervised Object Detection☆23Mar 30, 2021Updated 4 years ago
- Road extraction of high-resolution remote sensing images based on various semantic segmentation networks☆26May 24, 2019Updated 6 years ago
- Pytorch version of model in NeurIPS'19 paper "Learning Deep Bilinear Transformation for Fine-grained Image Representation"☆21Dec 29, 2019Updated 6 years ago
- Enabling Deep Residual Networks for Weakly Supervised Object Detection☆26Mar 25, 2021Updated 4 years ago
- Codes for Weakly Supervised Rotation-Invariant Aerial Object Detection Network☆32May 30, 2023Updated 2 years ago
- ☆29Apr 12, 2023Updated 2 years ago
- ☆29Mar 30, 2018Updated 7 years ago
- Conditional GANs for Semantic Segmentation of Multispectral Satellite Images☆32Sep 10, 2018Updated 7 years ago
- Edge Loss Reinforced Semantic Segmentation Network for Remote Sensing Images☆37May 30, 2019Updated 6 years ago
- Building Extraction / Semantic Segmentation from remote sensing images☆39Feb 24, 2023Updated 3 years ago
- Deep Leaning (DL) for remote sensing image (RSI) classification.☆34Mar 14, 2024Updated last year
- paper：Faster hyperspectral image classification based on selective kernel mechanism using deep convolutional networks☆33Aug 13, 2022Updated 3 years ago
- ☆38Aug 4, 2020Updated 5 years ago
- ☆31Mar 9, 2021Updated 5 years ago
- sparse and fully constrained spectral unmixing algorithm☆12Jul 31, 2019Updated 6 years ago
- Deep learning-based semantic segmentation terrain classifier for aerial orthophotos. Built using Keras-Tensorflow and with several open-s…☆10Oct 17, 2019Updated 6 years ago
- ☆10Nov 29, 2022Updated 3 years ago
- Oriented SSD for "Kaggle Airbus Ship Detection Challenge"☆86Nov 17, 2018Updated 7 years ago
- Boosting Weakly Supervised Object Detection with Progressive Knowledge Transfer.☆37Jul 17, 2020Updated 5 years ago
- Reimplementation of Mutual-Channel Loss for Fine-Grained Image Classification.☆37May 26, 2020Updated 5 years ago
- Deep Multi-layer Fusion Dense Network for Hyperspectral Image Classification.☆11Apr 25, 2021Updated 4 years ago
- Hyperspectral Image Classification using Deep Neural Network Architectures with Transfer Learning☆11Mar 15, 2021Updated 4 years ago
- Deep Collaborative Attention Network for Hyperspectral Image Classification by Combining 2-D CNN and 3-D CNN, JSTARS, 2020☆10Aug 31, 2020Updated 5 years ago
- Locally Enhanced Self-Attention: Rethinking Self-Attention as Local and Context Terms☆11Nov 29, 2021Updated 4 years ago
- A Matlab Toolbox for Bayesian multi-source remote sensing and ancillary data fusion, with application to flood mapping☆10Dec 4, 2017Updated 8 years ago