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a-general-image-fusion-framework-using-multi-task-semi-supervised-learning

Code for "A general image fusion framework using multi-task semi-supervised learning"

aerocampus

analyzing_inverse_problems

Code for the paper "Analyzing inverse problems with invertible neural networks." (2018)

antialiased-cnns

Antialiasing cnns to improve stability and accuracy. In ICML 2019.

attention-cnn

Source code for "On the Relationship between Self-Attention and Convolutional Layers"

attentionlite

Light-weight self attention block to replace Conv, FC, and Multihead self attention

awesome-remote-sensing-change-detection

List of datasets, codes, and contests related to remote sensing change detection

bayesian-neural-networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace and more

bbn

The official PyTorch implementation of paper BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition

blind_remote_sensing

This code allows to reproduce the results of Blind Image Fusion for Hyperspectral Imaging with the Directional Total Variation https://arxiv.org/abs/1710.05705

bracketire

[arXiv 2024] Bracketing is All You Need: Unifying Image Restoration and Enhancement Tasks with Multi-Exposure Images

bsrdm

Blind Image Super-resolution with Elaborate Degradation Modeling on Noise and Kernel (CVPR, 2022) (Pytorch)

c3net.pytorch

Pytorch code for our NeurIPS 2019 paper "Cross-channel Communication Networks"

carafe

Unofficial implementation of CARAFE: Content-Aware ReAssembly of FEatures. Pure pytorch imp

cen

[NeurIPS 2020] Code release for paper "Deep Multimodal Fusion by Channel Exchanging" (In PyTorch)

cenet

cgnl-network.pytorch

Compact Generalized Non-local Network (NIPS 2018)

confidnet

Addressing Failure Prediction by Learning Model Confidence

conservative-uncertainty-estimation-random-priors

Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)

contextual-loss-pytorch

An implement of contextual loss using PyTorch.

contextualloss

The Contextual Loss

conv-sv

The Singular Values of Convolutional Layers

convnorm

Official Implementation of Convolutional Normalization: Improving Robustness and Training for Deep Neural Networks

convolution_exponential_and_sylvester

cutblur

Rethinking Data Augmentation for Image Super-resolution (CVPR 2020)

daem

Toward Stable, Interpretable, and Lightweight Hyperspectral Super-resolution (based on EM-algorithm and Dagradation Adaption)

damex

Code for "DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets", accepted at Neurips 2023 (Main conference).

dan

This is an official implementation of Unfolding the Alternating Optimization for Blind Super Resolution

danet

Dual Attention Network for Scene Segmentation (CVPR2019)

dcinn