https://github.com/jungokasai/deep-shallow
공식 코드Deep Encoder, Shallow Decoder: Reevaluating Non-autoregressive Machine Translation
Papers with Code 아카이브
NLP based Person Retrival
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/jungomi/character-queries
공식 코드Character Queries: A Transformer-based Approach to On-Line Handwritten Character Segmentation
https://github.com/junhua/stged
공식 코드Spatial-Temporal Graph Representation Learning for Tactical Networks Future State Prediction
https://github.com/junjiehe96/fastinst
공식 코드FastInst: A Simple Query-Based Model for Real-Time Instance Segmentation
https://github.com/junshengzhou/3d-oae
공식 코드3D-OAE: Occlusion Auto-Encoders for Self-Supervised Learning on Point Clouds
https://github.com/junshengzhou/3dattriflow
공식 코드3D Shape Reconstruction from 2D Images with Disentangled Attribute Flow
https://github.com/juntang-zhuang/LadderNet
공식 코드LadderNet: Multi-path networks based on U-Net for medical image segmentation
https://github.com/juntang-zhuang/ShelfNet
공식 코드https://github.com/juntang-zhuang/ShelfNet-lw-cityscapes
공식 코드https://github.com/juntongkuki/pytorch-dsfnet
공식 코드https://github.com/junyangwang0410/knight
공식 코드From Association to Generation: Text-only Captioning by Unsupervised Cross-modal Mapping
https://github.com/junzengz/focusnet
공식 코드FocusNet: Transformer-enhanced Polyp Segmentation with Local and Pooling Attention
https://github.com/junzhezhang/deformtoon3d
공식 코드DeformToon3D: Deformable 3D Toonification from Neural Radiance Fields
https://github.com/justinhou95/TimeCausalVAE
공식 코드https://github.com/justinlovelace/latent-diffusion-for-language
공식 코드https://github.com/justinphan3110/CoTexT
공식 코드https://github.com/justlfc03/scunet-plusplus
공식 코드https://github.com/jvpoulos/Attention-OCR
공식 코드Character-Based Handwritten Text Transcription with Attention Networks
https://github.com/jwliu-cc/svg
공식 코드Sounding Video Generator: A Unified Framework for Text-guided Sounding Video Generation
https://github.com/jwubz123/DIG3D
공식 코드LeanGaussian: Breaking Pixel or Point Cloud Correspondence in Modeling 3D Gaussians
https://github.com/jwubz123/UNIG
공식 코드UniGS: Modeling Unitary 3D Gaussians for Novel View Synthesis from Sparse-view Images
https://github.com/jxbi1010/koap
공식 코드Imitation Learning with Limited Actions via Diffusion Planners and Deep Koopman Controllers
https://github.com/jxfeb/Generative_QA
공식 코드https://github.com/jxiong22/stlf_framework
공식 코드A Unifying Framework of Attention-based Neural Load Forecasting
https://github.com/jy0205/stcat
공식 코드Embracing Consistency: A One-Stage Approach for Spatio-Temporal Video Grounding
https://github.com/jyf588/transformer-inertial-poser
공식 코드https://github.com/jyhong0304/SII
공식 코드https://github.com/jyhuang36/intersent
공식 코드https://github.com/jzxxx/high-order-ie
공식 코드https://github.com/k-flouris/gfe
공식 코드https://github.com/k-nick/ms-detr
공식 코드MS-DETR: Natural Language Video Localization with Sampling Moment-Moment Interaction
https://github.com/k-rlange/lex2sent
공식 코드Lex2Sent: A bagging approach to unsupervised sentiment analysis
https://github.com/k2-fsa/ZipVoice
공식 코드ZipVoice: Fast and High-Quality Zero-Shot Text-to-Speech with Flow Matching
https://github.com/k2-fsa/icefall
공식 코드CR-CTC: Consistency regularization on CTC for improved speech recognition
https://github.com/k2-fsa/icefall/tree/master/egs/libricss/SURT
공식 코드SURT 2.0: Advances in Transducer-based Multi-talker Speech Recognition
https://github.com/kabbas570/cams-net
공식 코드CAMS: Convolution and Attention-Free Mamba-based Cardiac Image Segmentation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.