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amc

[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices

classic-and-state-of-the-art-image-fusion-methods

CBF,CVT,DTCWT,GTF,LP,MSVD,RP,Wavelet,CNN,Deepfuse,DenseFuse,FusionGAN,IFCNN,MDlatLRR,DDcGAN,ResNetFusion,NestFuse,NVCE,FusionDN,HybridMSD,PMGI,IFEVIP,StructAware,U2Fusion,MEF-GAN，JSR,ConvSR,DCHWT,MEFGAN,MWFG,PMGI,PANGAN,ect

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.

deformable-convnets

Deformable Convolutional Networks

densenet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

densenet-keras

DenseNet Implementation in Keras with ImageNet Pretrained Models

densenet-tensorflow

Simple Tensorflow implementation of Densenet using Cifar10, MNIST

difnet.pytorch

PyTorch implementation of Unsupervised Deep Image Fusion With Structure Tensor Representations

eagleeye

(ECCV'2020 Oral)EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning

ganmcc

Codo of GANMcC: A Generative Adversarial Network with Multi-classification Constraints for Infrared and Visible Image Fusion

image-fusion

图像融合文章代码合集

image-fusion-tang

Deep Learning-based Image Fusion: A Survey

matplotlib-inline

Inline Matplotlib backend for Jupyter

results-of-lmdfusion

seafusion

The code of " Image fusion in the loop of high-level vision tasks: A semantic-aware real-time infrared and visible image fusion network"

sparse-structure-selection

stdfusionnet

The code of STDFusionNet

tardal

CVPR 2022 | Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection.

torch-model-compression

针对pytorch模型的自动化模型结构分析和修改工具集，包含自动分析模型结构的模型压缩算法库

torchdistill

A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆20 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.

u2fusionrgbinput

Code of creating *.h5 file, dealing with RGB input, etc.

visdrone-dataset

The dataset for drone based detection and tracking is released, including both image/video, and annotations.

yolov5-multibackbone-compression

YOLOv5 Series Multi-backbone(TPH-YOLOv5, Ghostnet, ShuffleNetv2, Mobilenetv3Small, EfficientNetLite, PP-LCNet, SwinTransformer YOLO), Module(CBAM, DCN), Pruning (EagleEye, Network Slimming), Quantization (MQBench) and Deployment (TensorRT, ncnn) Compression Tool Box.