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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/explainableml/imagefreezsl

공식 코드

Image-free Classifier Injection for Zero-Shot Classification

https://github.com/ezhan94/neurosymbolic-encoders

공식 코드

Unsupervised Learning of Neurosymbolic Encoders

https://github.com/fabianfalck/unet-design

공식 코드

A Unified Framework for U-Net Design and Analysis

https://github.com/fabiangal/komodis-dataset

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A Corpus of Controlled Opinionated and Knowledgeable Movie Discussions for Training Neural Conversation Models

https://github.com/fabiocarrara/cbigan-ad

공식 코드

Combining GANs and AutoEncoders for Efficient Anomaly Detection

https://github.com/facebookresearch/DeepHandMesh

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DeepHandMesh: A Weakly-supervised Deep Encoder-Decoder Framework for High-fidelity Hand Mesh Modeling

https://github.com/facebookresearch/FaderNetworks

공식 코드

Fader Networks: Manipulating Images by Sliding Attributes

https://github.com/facebookresearch/Hanabi_SAD

공식 코드

Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning

https://github.com/facebookresearch/LASER

공식 코드

Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond

https://github.com/facebookresearch/SING

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SING: Symbol-to-Instrument Neural Generator

https://github.com/facebookresearch/audiomae

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Masked Autoencoders that Listen

https://github.com/facebookresearch/denoiser

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Real Time Speech Enhancement in the Waveform Domain

https://github.com/facebookresearch/detr

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End-to-End Object Detection with Transformers

https://github.com/facebookresearch/encodec

공식 코드

High Fidelity Neural Audio Compression

https://github.com/facebookresearch/fairseq

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Convolutional Sequence to Sequence Learning

https://github.com/facebookresearch/fairseq/tree/main/examples/data2vec

공식 코드

Efficient Self-supervised Learning with Contextualized Target Representations for Vision, Speech and Language

https://github.com/facebookresearch/irmae

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Implicit Rank-Minimizing Autoencoder

https://github.com/facebookresearch/mae

공식 코드

Masked Autoencoders Are Scalable Vision Learners

https://github.com/facebookresearch/mcc

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Multiview Compressive Coding for 3D Reconstruction

https://github.com/facebookresearch/metaseq

공식 코드

OPT: Open Pre-trained Transformer Language Models

https://github.com/facebookresearch/mmf/tree/main/projects/unit

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UniT: Multimodal Multitask Learning with a Unified Transformer

https://github.com/facebookresearch/qinco

공식 코드

Qinco2: Vector Compression and Search with Improved Implicit Neural Codebooks

https://github.com/facebookresearch/searchformer

공식 코드

Beyond A*: Better Planning with Transformers via Search Dynamics Bootstrapping

https://github.com/facebookresearch/sonar

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SONAR: Sentence-Level Multimodal and Language-Agnostic Representations

https://github.com/facebookresearch/ssl_watermarking

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Watermarking Images in Self-Supervised Latent Spaces

https://github.com/facebookresearch/stable_signature

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The Stable Signature: Rooting Watermarks in Latent Diffusion Models

https://github.com/facebookresearch/starcraft_defogger

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Forward Modeling for Partial Observation Strategy Games - A StarCraft Defogger

https://github.com/facebookresearch/zero

공식 코드

Zero-Shot Vision Encoder Grafting via LLM Surrogates

https://github.com/factodeeplearning/dan

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DAN: a Segmentation-free Document Attention Network for Handwritten Document Recognition

https://github.com/fahadshamshad/deep-facial-privacy-prior

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Makeup-Guided Facial Privacy Protection via Untrained Neural Network Priors

https://github.com/fajri91/NeuralRST-TopDown

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Top-down Discourse Parsing via Sequence Labelling

https://github.com/fallcat/stupidNMT

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Hard-Coded Gaussian Attention for Neural Machine Translation

https://github.com/fallingnight/pspg

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Pseudo-Prompt Generating in Pre-trained Vision-Language Models for Multi-Label Medical Image Classification

https://github.com/fan-aaron-zhang/mf-mfrnet

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Enhancing HDR Video Compression through CNN-based Effective Bit Depth Adaptation

https://github.com/fangleai/TransformerCVAE

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Transformer-based Conditional Variational Autoencoder for Controllable Story Generation

https://github.com/fantabulous-j/class

공식 코드

Pre-training Cross-lingual Open Domain Question Answering with Large-scale Synthetic Supervision

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