Papers with Code 아카이브

Image Enhancement

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하위 태스크: 10
평가표: 7
보존된 평가 기록: 26

Image Enhancement is basically improving the interpretability or perception of information in images for human viewers and providing ‘better’ input for other automated image processing techniques. The principal objective of Image Enhancement is to modify attributes of an image to make it more suitable for a given task and a specific observer.

Source: A Comprehensive Review of Image Enhancement Techniques

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/ShivamPrajapati2001/People_Counter

SSD: Single Shot MultiBox Detector

https://github.com/SkalskiP/make-sense

SSD: Single Shot MultiBox Detector

https://github.com/SkyWa7ch3r/ImageSegmentation

Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding

https://github.com/SkyWa7ch3r/SceneSegmentation

Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding

https://github.com/Sobeit-Tim/NuguEyeTest

SSD: Single Shot MultiBox Detector

https://github.com/TanyaChutani/SSD-Tensorflow

SSD: Single Shot MultiBox Detector

https://github.com/Thehunk1206/Zero-DCE

Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement

https://github.com/ThiagoPiovesan/PeopleCounter_module

SSD: Single Shot MultiBox Detector

https://github.com/TimoSaemann/caffe-segnet-cudnn5

Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding

https://github.com/Tota-Nakatani/SSD_keras

SSD: Single Shot MultiBox Detector

https://github.com/TqDavid/td

Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding

https://github.com/Tsejing/object_detection

SSD: Single Shot MultiBox Detector

https://github.com/TurtleGo/project-vehicle-detect

SSD: Single Shot MultiBox Detector

https://github.com/VITA-Group/EnlightenGAN

EnlightenGAN: Deep Light Enhancement without Paired Supervision

https://github.com/VipinBioLab/EMST

https://github.com/Viveksbawa/SARAS-ESAD-Baseline

SSD: Single Shot MultiBox Detector

https://github.com/WuWanyu98/ONVE

From Generation to Suppression: Towards Effective Irregular Glow Removal for Nighttime Visibility Enhancement

https://github.com/XiangGaofeng/MindSpore-SSD

SSD: Single Shot MultiBox Detector

https://github.com/Zeng555/EMV-YOLO

Getting to Know Low-light Images with The Exclusively Dark Dataset

https://github.com/ZhangJiajun1995/cs231n-camp

SSD: Single Shot MultiBox Detector

https://github.com/Zhanghongbin-github/SegNet-Tutorial

Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding

https://github.com/ZhengJun-AI/MoirePhotoRestoration-MCNN

Moiré Photo Restoration Using Multiresolution Convolutional Neural Networks

https://github.com/ZhouKai90/face-detection-ssd-mxnet

SSD: Single Shot MultiBox Detector

https://github.com/Zoushuang86/quiz_w8

SSD: Single Shot MultiBox Detector

https://github.com/aiha-lab/AI-thermometer

SSD: Single Shot MultiBox Detector

https://github.com/aimiokab/misr-s2

HighRes-net: Recursive Fusion for Multi-Frame Super-Resolution of Satellite Imagery

https://github.com/airplane2230/keras_Model_for_Beginner

SSD: Single Shot MultiBox Detector

https://github.com/airplane2230/keras_SSD_for_beginner

SSD: Single Shot MultiBox Detector

https://github.com/ajinkyakhoche/Object-Detection-Project

SSD: Single Shot MultiBox Detector

https://github.com/albrateanu/KANT

https://github.com/albrateanu/LYT-Net/tree/main/PyTorch

LYT-NET: Lightweight YUV Transformer-based Network for Low-light Image Enhancement

https://github.com/alexgkendall/SegNet-Tutorial

Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding

https://github.com/alexgkendall/caffe-segnet

Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding

https://github.com/alpemek/ais3d

SSD: Single Shot MultiBox Detector

https://github.com/amberwangyili/neurop-pytorch

Neural Color Operators for Sequential Image Retouching

https://github.com/amdegroot/ssd.pytorch

SSD: Single Shot MultiBox Detector

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.