https://github.com/zhihefang/SN-DCR/tree/main/SN-DCR-main
공식 코드Spectral Normalization and Dual Contrastive Regularization for Image-to-Image Translation
Papers with Code 아카이브
Translation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/zhijing-jin/IMT
공식 코드IMaT: Unsupervised Text Attribute Transfer via Iterative Matching and Translation
https://github.com/zhijing-jin/IMaT
공식 코드IMaT: Unsupervised Text Attribute Transfer via Iterative Matching and Translation
https://github.com/zhipeng-wei/tt
공식 코드Boosting the Transferability of Video Adversarial Examples via Temporal Translation
https://github.com/zhiqu22/PhasedDecoder
공식 코드https://github.com/zhiqu22/ZeroTrans
공식 코드https://github.com/zhiqu22/adapnoncenter
공식 코드Adapting to Non-Centered Languages for Zero-shot Multilingual Translation
https://github.com/zhiqu22/mitre
공식 코드Registering Source Tokens to Target Language Spaces in Multilingual Neural Machine Translation
https://github.com/zhongmz/SiMT-Hallucination
공식 코드https://github.com/zhongmz/contextconsistencybitraining4simt
공식 코드Context Consistency between Training and Testing in Simultaneous Machine Translation
https://github.com/zhoubenjia/gfslt-vlp
공식 코드Gloss-free Sign Language Translation: Improving from Visual-Language Pretraining
https://github.com/zhougroup/BAM
공식 코드https://github.com/zhouh/chunk-nmt
공식 코드https://github.com/zhu-xlab/ucdformer
공식 코드UCDFormer: Unsupervised Change Detection Using a Transformer-driven Image Translation
https://github.com/zhuchen03/gradinit
공식 코드GradInit: Learning to Initialize Neural Networks for Stable and Efficient Training
https://github.com/zhuchen03/maxva
공식 코드MaxVA: Fast Adaptation of Step Sizes by Maximizing Observed Variance of Gradients
https://github.com/zhuohan123/hint-nart
공식 코드Hint-Based Training for Non-Autoregressive Machine Translation
https://github.com/zhyack/MAST
공식 코드https://github.com/zippotju/Exposure-Bias-Hallucination-Domain-Shift
공식 코드On Exposure Bias, Hallucination and Domain Shift in Neural Machine Translation
https://github.com/ziwang-klvk/cfq-rbmt
공식 코드On Evaluating Multilingual Compositional Generalization with Translated Datasets
https://github.com/ziyunliang/mmccd
공식 코드Modality Cycles with Masked Conditional Diffusion for Unsupervised Anomaly Segmentation in MRI
https://github.com/zjersey/lightseq-arm
공식 코드https://github.com/zju-swj/kt
공식 코드https://github.com/zju-vipa/BKT
공식 코드Visual Boundary Knowledge Translation for Foreground Segmentation
https://github.com/zlinao/Variational-Transformer
공식 코드https://github.com/znlp/bigtrans
공식 코드https://github.com/znlp/bigtranslate
공식 코드https://github.com/znlp/x-instruction
공식 코드https://github.com/znlp/zero-shot-st
공식 코드Discrete Cross-Modal Alignment Enables Zero-Shot Speech Translation
https://github.com/znxlwm/UGATIT-pytorch
공식 코드https://github.com/zomux/lanmt
공식 코드https://github.com/zomux/lanmt-ebm
공식 코드Iterative Refinement in the Continuous Space for Non-Autoregressive Neural Machine Translation
https://github.com/zomux/nmtdec
공식 코드https://github.com/zorikg/KoBE
공식 코드https://github.com/zouchuhang/LayoutNetv2
공식 코드LayoutNet: Reconstructing the 3D Room Layout from a Single RGB Image
https://github.com/zouharvi/COMET-early-exit
공식 코드Early-Exit and Instant Confidence Translation Quality Estimation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.