Papers with Code 아카이브
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태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 평가표
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- 보존된 평가 기록
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/williamyang1991/rerender_a_video
Rerender A Video: Zero-Shot Text-Guided Video-to-Video Translation
https://github.com/willylulu/RelGAN
RelGAN: Multi-Domain Image-to-Image Translation via Relative Attributes
https://github.com/wincelinux/ai-dn-FasterRCNN-caffe
R-FCN: Object Detection via Region-based Fully Convolutional Networks
https://github.com/windsuzu/Enhance-Chinese-to-Japanese-Neural-Machine-Translation
https://github.com/windsuzu/improving-NMT-ch-jp
https://github.com/winfried-loetzsch/deep-hist
DeepHist: Differentiable Joint and Color Histogram Layers for Image-to-Image Translation
https://github.com/wish44165/A-New-Perspective-for-Shuttlecock-Hitting-Event-Detection
An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
https://github.com/wkcn/LookaheadOptimizer-mx
https://github.com/wkcn/UGATIT-mxnet
https://github.com/wkhademi/ImageEnhancement
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/wl-research/nubia
NUBIA: NeUral Based Interchangeability Assessor for Text Generation
https://github.com/wm-semeru/hephaestus
https://github.com/woans0104/project_review
An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution
https://github.com/woans0104/sk_project
An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution
https://github.com/wonbeomjang/cyclegan-pytorch
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/woozzu/dong_iccv_2017
Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models
https://github.com/wouterkool/estimating-gradients-without-replacement
https://github.com/wsntxxn/AudioCaption
https://github.com/wtliao/layout2img
https://github.com/wwwAych/AutoVideoColor
https://github.com/wxt1997/Transformer-Transducer
https://github.com/wyndwarrior/imitation_from_observation
Imitation from Observation: Learning to Imitate Behaviors from Raw Video via Context Translation
https://github.com/wyu97/Easy-use-BART
https://github.com/wzell/cmd
Robust Unsupervised Domain Adaptation for Neural Networks via Moment Alignment
https://github.com/wzh326/R-Drop
https://github.com/wzlxjtu/PositionalEncoding2D
https://github.com/xbtlin/All-about-Machine-Learning
https://github.com/xcfcode/msamsum
https://github.com/xcmyz/FastSpeech
https://github.com/xdever/RFCN-tensorflow
R-FCN: Object Detection via Region-based Fully Convolutional Networks
https://github.com/xesdiny/test-bert-master
https://github.com/xhluca/dl-translate
Multilingual Translation with Extensible Multilingual Pretraining and Finetuning
https://github.com/xhlulu/arxiv-assistant
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/xhlulu/dl-translate
Multilingual Translation with Extensible Multilingual Pretraining and Finetuning
https://github.com/xhujoy/CycleGAN-tensorflow
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.