Papers with Code 아카이브
Image Enhancement
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 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/valentina-kustikova/dnn-object-detectors-comp
https://github.com/vandangorade/BrandLOGO_detection
https://github.com/vashiegaran/DE-GAN-Implementation-Using-PyTorch
DE-GAN: A Conditional Generative Adversarial Network for Document Enhancement
https://github.com/venkat2319/Mirnet
Learning Enriched Features for Real Image Restoration and Enhancement
https://github.com/victordibia/handtracking
https://github.com/visiblesensors/caffe-ssd
https://github.com/vita-epfl/rock-pytorch
https://github.com/vivek20dadhich/deep-learning-object-detection
https://github.com/vztu/maxim-pytorch
https://github.com/wangkingkingking/ssd_mathocr
https://github.com/wangrui1996/caffe-ssd
https://github.com/watarus0208/ssd_keras
https://github.com/wayne1204/NOAA-fish-finding
https://github.com/weichen582/RetinexNet
https://github.com/weidi1024/caffe-ssd-correct
https://github.com/wj1tr0y/SSD
https://github.com/wk738126046/deploy
https://github.com/wkhademi/ImageEnhancement
EnlightenGAN: Deep Light Enhancement without Paired Supervision
https://github.com/wustl-cig/FLAIR
FLAIR: A Conditional Diffusion Framework with Applications to Face Video Restoration
https://github.com/xTRam1/Object-Detection-on-Custom-Dataset
https://github.com/xahidbuffon/Deep_SESR
Simultaneous Enhancement and Super-Resolution of Underwater Imagery for Improved Visual Perception
https://github.com/xiaohaoChen/rrc_detection
https://github.com/xiuyu0000/papers_with_examples/tree/main/case_10_ssd300_mobilenetv2_voc2012_detection
https://github.com/xiuyu0000/vision/blob/main/mindvision/msdetection/models/ssd.py
https://github.com/xyfer17/ssd-caffe
https://github.com/xypu98/two-stage-HDR-video
A Two-stage Deep Network for High Dynamic Range Image Reconstruction
https://github.com/xzgz/caffe-ssd
https://github.com/yaegasikk/howtoengan
EnlightenGAN: Deep Light Enhancement without Paired Supervision
https://github.com/yczhang1017/SSD_resnet_pytorch
https://github.com/yeqiuyi/caffe-ssd
https://github.com/yqyao/ssd.pytorch
https://github.com/yubaoliu/caffe-segnet
https://github.com/yuhsijen/Object-Detector
https://github.com/yuhsuanlin23130/Vehicle-Detection-2019
https://github.com/yuqj1990/caffe_deeplearning_train
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.