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Pytorch implementation of convolutional neural network visualization techniques

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-gan-cloud-and-fog-removal-system-using-generative-adversarial-networks-satellite-image-processing

Developed an AI System based on Generative Adversarial Networks (GANs) to predict and remove the Clouds and Fog from an Image captured from Satellite. Gets input of a Satellite Image with Clouds and outputs a predicted landscape without clouds. Demo prototype for my internship at ISRO Hyderabad campus National Remote Sensing Centre. Actual project

-sar-dsen2_cr_pytorch

DSen2_CR神经网络的pytorch版本

-utae-paps

PyTorch implementation of U-TAE and PaPs for satellite image time series panoptic segmentation.

38-cloud-a-cloud-segmentation-dataset

This data set includes Landsat 8 images and their manually extracted pixel-level ground truths for cloud detection.

3d-photo-inpainting

[CVPR 2020] 3D Photography using Context-aware Layered Depth Inpainting

a_opt-to_sar-sen12ms-cr-ts

adversarialnetspapers

Awesome paper list with code about generative adversarial nets

alexnet-experiments

Experiments with AlexNet architecture for Image Classification

amazing-semantic-segmentation

Amazing Semantic Segmentation on Tensorflow && Keras (include FCN, UNet, SegNet, PSPNet, PAN, RefineNet, DeepLabV3, DeepLabV3+, DenseASPP, BiSegNet)

attention-module

Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"

awesome-cloud-detection-and-removal

Collection of popular and reproducible works of cloud detection and removal.

awesome-image-harmonization

A curated list of papers, code and resources pertaining to image harmonization.

awesome-image-inpainting

A curated list of image inpainting and video inpainting papers and resources

awesome-remote-sensing-relative-radiometric-normalization-datasets

A. Moghimi, A. Mohammadzadeh, T. Celik and M. Amani, "A Novel Radiometric Control Set Sample Selection Strategy for Relative Radiometric Normalization of Multitemporal Satellite Images," in IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 3, pp. 2503-2519, March 2021, doi: 10.1109/TGRS.2020.2995394.

awesome-semantic-segmentation-pytorch

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

awesome-vision-attentions

Summary of related papers on visual attention. Related code will be released based on Jittor gradually.

bishift-networks

Bishift Networks for Thick Cloud Removal with Multitemporal Remote Sensing Images

bringing-old-photos-back-to-life

Bringing Old Photo Back to Life (CVPR 2020 oral)

cloud-detection-cloud-masking-cnns

Cloud masking with convolutional neural networks (CNNs)

cloud-net-a-semantic-segmentation-cnn-for-cloud-detection

A semantic segmentation CNN for cloud detection

cloud-removal

cloud-removal-deploy

deploy remote sensing imagery cloud removal model online

cloud-removal-in-satellite-images-using-conditional-generative-adversarial-networks

Removing cloud cover in Sentinel-2 satellite images using only optical data and a novel augmented training approach using conditional GANs.

cloud_gated_pixelcnn

Extension of the Gated-Pixel CNN architecture to removal of clouds from aerial imagery

cloud_removal

cloudnet-cloud-removal

cloudremoval

Cloud removal for remote sensing images

cloudremoval-1

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