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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/paul007pl/PointAtrousGraph

공식 코드

PointAtrousGraph: Deep Hierarchical Encoder-Decoder with Point Atrous Convolution for Unorganized 3D Points

https://github.com/pavanneerudu/robustness-of-transformers-models

공식 코드

On Robustness of Finetuned Transformer-based NLP Models

https://github.com/pay20y/pimnet

공식 코드

PIMNet: A Parallel, Iterative and Mimicking Network for Scene Text Recognition

https://github.com/pc2752/sep_content

공식 코드

Content Based Singing Voice Extraction From a Musical Mixture

https://github.com/pclucas14/adaptive-quantization-modules

공식 코드

Online Learned Continual Compression with Adaptive Quantization Modules

https://github.com/pedrodiamel/ferattention

공식 코드

FERAtt: Facial Expression Recognition with Attention Net

https://github.com/peiyu-georgia-li/cheffusion-multimodal-foundation-model-integrating-recipe-and-food-image-generation

공식 코드

ChefFusion: Multimodal Foundation Model Integrating Recipe and Food Image Generation

https://github.com/pengfei-hu/mtd

공식 코드

Multimodal Tree Decoder for Table of Contents Extraction in Document Images

https://github.com/penghao-wu/proxyv

공식 코드

Streamline Without Sacrifice -- Squeeze out Computation Redundancy in LMM

https://github.com/pengtaojiang/tsp6k

공식 코드

Traffic Scene Parsing through the TSP6K Dataset

https://github.com/pengwei-iie/glhg

공식 코드

Control Globally, Understand Locally: A Global-to-Local Hierarchical Graph Network for Emotional Support Conversation

https://github.com/pengzhiliang/g2sd

공식 코드

Generic-to-Specific Distillation of Masked Autoencoders

https://github.com/peoplelu/bsnet

공식 코드

BSNet: Box-Supervised Simulation-assisted Mean Teacher for 3D Instance Segmentation

https://github.com/peteryyzhang/few-shot-self-prompt-sam

공식 코드

Self-Prompting Large Vision Models for Few-Shot Medical Image Segmentation

https://github.com/petrichor625/talk2car_cavg

공식 코드

GPT-4 Enhanced Multimodal Grounding for Autonomous Driving: Leveraging Cross-Modal Attention with Large Language Models

https://github.com/pfnet-research/dielectric-pred

공식 코드

Dielectric Tensor Prediction for Inorganic Materials Using Latent Information from Preferred Potential

https://github.com/phellonchen/DMRM

공식 코드

DMRM: A Dual-channel Multi-hop Reasoning Model for Visual Dialog

https://github.com/phenomicai/bascvi

공식 코드

Benchmarking and optimizing organism wide single-cell RNA alignment methods

https://github.com/phizaz/diffae

공식 코드

Diffusion Autoencoders: Toward a Meaningful and Decodable Representation

https://github.com/phlippe/CategoricalNF

공식 코드

Categorical Normalizing Flows via Continuous Transformations

https://github.com/phoebussi/thinking-while-observing

공식 코드

Combo of Thinking and Observing for Outside-Knowledge VQA

https://github.com/phyllisayk/nlp-efficiency-tradeoff

공식 코드

Characterizing the Efficiency vs. Accuracy Trade-off for Long-Context NLP Models

https://github.com/phymond/hme100k

공식 코드

Syntax-Aware Network for Handwritten Mathematical Expression Recognition

https://github.com/piddnad/ddcolor

공식 코드

DDColor: Towards Photo-Realistic Image Colorization via Dual Decoders

https://github.com/piggyjerry/dc-net

공식 코드

DC-Net: Divide-and-Conquer for Salient Object Detection

https://github.com/pinakinathc/fscoco

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FS-COCO: Towards Understanding of Freehand Sketches of Common Objects in Context

https://github.com/pioneerAlpha/BanglaImageCaptioning

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Bangla Image Caption Generation through CNN-Transformer based Encoder-Decoder Network

https://github.com/piotrnawrot/nanot5

공식 코드

nanoT5: A PyTorch Framework for Pre-training and Fine-tuning T5-style Models with Limited Resources

https://github.com/pjlallen/udun

공식 코드

Unite-Divide-Unite: Joint Boosting Trunk and Structure for High-accuracy Dichotomous Image Segmentation

https://github.com/pkunlp-icler/off-target-mnmt

공식 코드

On the Off-Target Problem of Zero-Shot Multilingual Neural Machine Translation

https://github.com/pl-2000/t-unet

공식 코드

T-UNet: Triplet UNet for Change Detection in High-Resolution Remote Sensing Images

https://github.com/pl23k/icehrnet

공식 코드

An easy zero-shot learning combination: Texture Sensitive Semantic Segmentation IceHrNet and Advanced Style Transfer Learning Strategy

https://github.com/planet-ai-gmbh/tfaip-hybrid-ctc-s2s

공식 코드

Rescoring Sequence-to-Sequence Models for Text Line Recognition with CTC-Prefixes

https://github.com/plemeri/UACANet

공식 코드

UACANet: Uncertainty Augmented Context Attention for Polyp Segmentation

https://github.com/pluralisresearch/asyncpp

공식 코드

Nesterov Method for Asynchronous Pipeline Parallel Optimization

https://github.com/pmh9960/iColoriT

공식 코드

iColoriT: Towards Propagating Local Hint to the Right Region in Interactive Colorization by Leveraging Vision Transformer

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