lzqcode

lzqcode

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DDColor

[ICCV 2023] DDColor: Towards Photo-Realistic Image Colorization via Dual Decoders

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fastdvdnet

FastDVDnet: A Very Fast Deep Video Denoising algorithm

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VRT

VRT: A Video Restoration Transformer (official repository)

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DnSwin

Codes for our paper "DnSwin: Toward Real-World Denoising via Continuous Wavelet Sliding-Transformer" (KBS 2022)

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Awesome-CVPR2024-CVPR2021-CVPR2020-Low-Level-Vision

A Collection of Papers and Codes for CVPR2024/CVPR2021/CVPR2020 Low Level Vision

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RepVGG

RepVGG: Making VGG-style ConvNets Great Again

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pytorch-debayer

Convolutional PyTorch debayering / demosaicing layers

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quantized_distillation

Implements quantized distillation. Code for our paper "Model compression via distillation and quantization"

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PyNET

Generating RGB photos from RAW image files with PyNET

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awesome-knowledge-distillation

Awesome Knowledge Distillation

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channel-pruning

Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)

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amc-models

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

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Grid-Anchor-based-Image-Cropping

Project page of the CVPR2019 paper "Reliable and Efficient Image Cropping: A Grid Anchor based Approach"

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SICE

Learning a Deep Single Image Contrast Enhancer from Multi-Exposure Images (TIP 2018)

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TorchSeg

Fast, modular reference implementation and easy training of Semantic Segmentation algorithms in PyTorch.

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Deeplab-v3plus

A higher performance pytorch implementation of DeepLab V3 Plus(DeepLab v3+)

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deeplab_v3

Tensorflow Implementation of the Semantic Segmentation DeepLab_V3 CNN

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semantic-segmentation-pytorch

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

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Fast-MTCNN

a casual work about retraining to optimize mtcnn Pnet and ONet. it can achieve 100+fps on CPU with minSize 60 (1920x1080) on intel i7 6700k

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tensorflow-community-wheels

Place to upload links to TensorFlow wheels

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sidl

Deep Learning code

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leetcode

LeetCode题解,151道题完整版。广告:推荐刷题网站 https://www.lintcode.com/?utm_source=soulmachine

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