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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/Akanni96/TRUNET

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TRU-NET: A Deep Learning Approach to High Resolution Prediction of Rainfall

https://github.com/AlanBaade/MAE-AST-Public

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MAE-AST: Masked Autoencoding Audio Spectrogram Transformer

https://github.com/AlbertOh90/Soft-VQ-VAE

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Quantization-Based Regularization for Autoencoders

https://github.com/AlbertSuarez/object-cut

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Boundary-Aware Segmentation Network for Mobile and Web Applications

https://github.com/AlessioQuercia/mdeaux

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Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks

https://github.com/Alex-Fabbri/Multi-News

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Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model

https://github.com/AlexJonesNLP/SentimentMT

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Sentiment-based Candidate Selection for NMT

https://github.com/Alexander-H-Liu/End-to-end-ASR-Pytorch

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Sequence-to-sequence Automatic Speech Recognition with Word Embedding Regularization and Fused Decoding

https://github.com/AlexandreBinninger/SENS

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SENS: Part-Aware Sketch-based Implicit Neural Shape Modeling

https://github.com/AlvinZhuyx/camera_pose_representation

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Learning Neural Representation of Camera Pose with Matrix Representation of Pose Shift via View Synthesis

https://github.com/AndreasOpedal/ba-graph-disentanglement

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Recovering Barabási-Albert Parameters of Graphs through Disentanglement

https://github.com/AngeLouCN/CFPNet-Medicine

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CFPNet-M: A Light-Weight Encoder-Decoder Based Network for Multimodal Biomedical Image Real-Time Segmentation

https://github.com/AngeLouCN/DC-UNet

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DC-UNet: Rethinking the U-Net Architecture with Dual Channel Efficient CNN for Medical Images Segmentation

https://github.com/AnthonyDeschenes/PlaningItByEarDataset

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Planing It by Ear: Convolutional Neural Networks for Acoustic Anomaly Detection in Industrial Wood Planers

https://github.com/Ariostgx/lctgen

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Language Conditioned Traffic Generation

https://github.com/Arktis2022/Spiking-Diffusion

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Spiking-Diffusion: Vector Quantized Discrete Diffusion Model with Spiking Neural Networks

https://github.com/ArrowHuang/NumHG

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NumHG: A Dataset for Number-Focused Headline Generation

https://github.com/ArturoDeza/NeuroFovea

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Towards Metamerism via Foveated Style Transfer

https://github.com/Ascend-Research/CascadedGaze

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CascadedGaze: Efficiency in Global Context Extraction for Image Restoration

https://github.com/AshOlogn/Paragraph-level-Simplification-of-Medical-Texts

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Paragraph-level Simplification of Medical Texts

https://github.com/AtticusXu/Modeling-Unknown-Stochastic-Dynamical-System-via-Autoencoder

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Modeling Unknown Stochastic Dynamical System via Autoencoder

https://github.com/Audio-WestlakeU/UMA-ASR

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Unimodal Aggregation for CTC-based Speech Recognition

https://github.com/AutoTemp/Shallow-Aggressive-Decoding

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Instantaneous Grammatical Error Correction with Shallow Aggressive Decoding

https://github.com/Avmb/deep-nmt-architectures

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Deep Architectures for Neural Machine Translation

https://github.com/AzureStarz/paying_attention_to_the_source

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Paying More Attention to Source Context: Mitigating Unfaithful Translations from Large Language Model

https://github.com/BKHMSI/deep-diacritization

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Deep Diacritization: Efficient Hierarchical Recurrence for Improved Arabic Diacritization

https://github.com/BNL-DAQ-LDRD/NeuralCompression

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Efficient Data Compression for 3D Sparse TPC via Bicephalous Convolutional Autoencoder

https://github.com/BR-IDL/PaddleViT

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Fully Transformer Networks for Semantic Image Segmentation

https://github.com/Bartzi/one-model-to-reconstruct-them-all

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One Model to Reconstruct Them All: A Novel Way to Use the Stochastic Noise in StyleGAN

https://github.com/BebDong/MXNetSeg

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Attention-guided Chained Context Aggregation for Semantic Segmentation

https://github.com/Beckschen/3D-TransUNet

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3D TransUNet: Advancing Medical Image Segmentation through Vision Transformers

https://github.com/Beckschen/TransUNet

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TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

https://github.com/BehnooshParsa/MTL-ERA

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A Multi-Task Learning Approach for Human Activity Segmentation and Ergonomics Risk Assessment

https://github.com/Beilong-Tang/lauraTSE_code

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LauraTSE: Target Speaker Extraction using Auto-Regressive Decoder-Only Language Models

https://github.com/BestAnHongjun/SentenceVAE

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SentenceVAE: Enable Next-sentence Prediction for Large Language Models with Faster Speed, Higher Accuracy and Longer Context

https://github.com/BiQiWHU/CMFormer

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Learning Content-enhanced Mask Transformer for Domain Generalized Urban-Scene Segmentation

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.