Papers with Code 아카이브

NLP based Person Retrival

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코드

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

https://github.com/JG1VPP/MuTabNet

공식 코드

Multi-Cell Decoder and Mutual Learning for Table Structure and Character Recognition

https://github.com/Jacob-Zhou/FeatureCRFAE

공식 코드

Bridging Pre-trained Language Models and Hand-crafted Features for Unsupervised POS Tagging

https://github.com/Jacob-Zhou/gecdi

공식 코드

Improving Seq2Seq Grammatical Error Correction via Decoding Interventions

https://github.com/JaejinCho/espnet_spkidtts

공식 코드

Learning Speaker Embedding from Text-to-Speech

https://github.com/JanineCHEN/SE-VGAE

공식 코드

SE-VGAE: Unsupervised Disentangled Representation Learning for Interpretable Architectural Layout Design Graph Generation

https://github.com/Jarvis73/FPTransPaddle

공식 코드

Feature-Proxy Transformer for Few-Shot Segmentation

https://github.com/JasonObeid/Chart2Text

공식 코드

Chart-to-Text: Generating Natural Language Descriptions for Charts by Adapting the Transformer Model

https://github.com/Jayaos/TCPTS

공식 코드

Transformer Conformal Prediction for Time Series

https://github.com/Jeffrey-Ede/Electron-Micrograph-Denoiser

공식 코드

Improving Electron Micrograph Signal-to-Noise with an Atrous Convolutional Encoder-Decoder

https://github.com/JeroenZegers/Nabu-MSSS

공식 코드

CNN-LSTM models for Multi-Speaker Source Separation using Bayesian Hyper Parameter Optimization

https://github.com/JiajieMo/OctaveUNet

공식 코드

Accurate Retinal Vessel Segmentation via Octave Convolution Neural Network

https://github.com/JialianW/GRiT

공식 코드

GRiT: A Generative Region-to-text Transformer for Object Understanding

https://github.com/Jian-danai/Decompose-Distill-BeautyGAN

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Compressing Facial Makeup Transfer Networks by Collaborative Distillation and Kernel Decomposition

https://github.com/Jianningli/autoimplant

공식 코드

A Baseline Approach for AutoImplant: the MICCAI 2020 Cranial Implant Design Challenge

https://github.com/Jiawei-Yao0812/NDCScene

공식 코드

NDC-Scene: Boost Monocular 3D Semantic Scene Completion in Normalized Device Coordinates Space

https://github.com/Jiaxuan-Li/MGU-Net

공식 코드

Multi-scale GCN-assisted two-stage network for joint segmentation of retinal layers and disc in peripapillary OCT images

https://github.com/JiaxunCai/Dynet-Biaffine-SRL

공식 코드

A Full End-to-End Semantic Role Labeler, Syntax-agnostic Over Syntax-aware?

https://github.com/JindongJiang/RedNet

공식 코드

RedNet: Residual Encoder-Decoder Network for indoor RGB-D Semantic Segmentation

https://github.com/JingMog/RFL-MSD

공식 코드

RFL: Simplifying Chemical Structure Recognition with Ring-Free Language

https://github.com/JingWang18/Discriminative-Feature-Alignment

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Discriminative Feature Alignment: Improving Transferability of Unsupervised Domain Adaptation by Gaussian-guided Latent Alignment

https://github.com/JingZhang617/UCNet

공식 코드

Uncertainty Inspired RGB-D Saliency Detection

https://github.com/JingqingZ/BaiduTraffic

공식 코드

Deep Sequence Learning with Auxiliary Information for Traffic Prediction

https://github.com/JinyuZ1996/EA-GPS

공식 코드

Lightweight yet Efficient: An External Attentive Graph Convolutional Network with Positional Prompts for Sequential Recommendation

https://github.com/Jireh-Jam/R-MNet-Inpainting-keras

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R-MNet: A Perceptual Adversarial Network for Image Inpainting

https://github.com/Jiuzhouh/Multi-Score

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Generating Diverse Descriptions from Semantic Graphs

https://github.com/JoetheReindeer/multiPI_TransBTS

공식 코드

multiPI-TransBTS: A Multi-Path Learning Framework for Brain Tumor Image Segmentation Based on Multi-Physical Information

https://github.com/JohnTailor/ClaDec

공식 코드

Explaining Neural Networks by Decoding Layer Activations

https://github.com/JorisRoels/domain-adaptive-segmentation

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Domain Adaptive Segmentation in Volume Electron Microscopy Imaging

https://github.com/JunwenBai/MPVAE

공식 코드

Disentangled Variational Autoencoder based Multi-Label Classification with Covariance-Aware Multivariate Probit Model

https://github.com/JusperLee/TDANet

공식 코드

An efficient encoder-decoder architecture with top-down attention for speech separation

https://github.com/JuzhengMiao/CPC-SAM

공식 코드

Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image Segmentation

https://github.com/KaijuML/data-to-text-hierarchical

공식 코드

A Hierarchical Model for Data-to-Text Generation

https://github.com/KaijuML/dtt-multi-branch

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Controlling Hallucinations at Word Level in Data-to-Text Generation

https://github.com/Kainmueller-Lab/shift_equivariance_unet

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How Shift Equivariance Impacts Metric Learning for Instance Segmentation

https://github.com/Karel911/TRACER

공식 코드

TRACER: Extreme Attention Guided Salient Object Tracing Network

https://github.com/Kartik-3004/facexformer

공식 코드

FaceXFormer: A Unified Transformer for Facial Analysis

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