Papers with Code 아카이브

Retrieval

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전체 기법 전체 데이터셋

하위 태스크: 3
평가표: 11
보존된 평가 기록: 19

A methodology that involves selecting relevant data or examples from a large dataset to support tasks like prediction, learning, or inference. It enhances models by providing context or additional information, often used in systems like retrieval-augmented generation or in-context learning.

코드

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

https://github.com/2023-MindSpore-1/ms-code-215/tree/main/pcb

Beyond Part Models: Person Retrieval with Refined Part Pooling (and a Strong Convolutional Baseline)

https://github.com/2023-MindSpore-1/ms-code-215/tree/main/pcb_rpp

Beyond Part Models: Person Retrieval with Refined Part Pooling (and a Strong Convolutional Baseline)

https://github.com/2023-MindSpore-1/ms-code-220/tree/main/tinybert

Simplified TinyBERT: Knowledge Distillation for Document Retrieval

https://github.com/2023-MindSpore-1/ms-code-223/tree/main/RetinaFace_ResNet50

Video Face Recognition System: RetinaFace-mnet-faster and Secondary Search

https://github.com/2023-MindSpore-1/ms-code-6/tree/main/CMT

CMT in TREC-COVID Round 2: Mitigating the Generalization Gaps from Web to Special Domain Search

https://github.com/2023-MindSpore-1/ms-code-62

MultiGrain: a unified image embedding for classes and instances

https://github.com/2023-MindSpore-1/ms-code-7

SEMICON: A Learning-to-hash Solution for Large-scale Fine-grained Image Retrieval

https://github.com/2023-MindSpore-4/Code11/tree/main/retinaface

Video Face Recognition System: RetinaFace-mnet-faster and Secondary Search

https://github.com/2023-MindSpore-4/Code12/tree/main/MindFormers/blip2

BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

https://github.com/2023-MindSpore-4/Code12/tree/main/MindFormers/glm2

WebGLM: Towards An Efficient Web-Enhanced Question Answering System with Human Preferences

https://github.com/2023-MindSpore-4/Code3/tree/main/delf

Unifying Deep Local and Global Features for Image Search

https://github.com/2024-MindSpore-1/Code2/tree/main/model-1/bge_m3

BGE M3-Embedding: Multi-Lingual, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation

https://github.com/2024-MindSpore-1/Code2/tree/main/model-1/blip

BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

https://github.com/2024-MindSpore-1/Code2/tree/main/model-1/dpr

Fine-tune the Entire RAG Architecture (including DPR retriever) for Question-Answering

https://github.com/2024-MindSpore-1/Code4/tree/main/RetinaFace_ResNet50

Video Face Recognition System: RetinaFace-mnet-faster and Secondary Search

https://github.com/2281123066/visual-semantic-embedding

Multimodal Convolutional Neural Networks for Matching Image and Sentence

https://github.com/8023looker/versatune

DataSculpt: Crafting Data Landscapes for Long-Context LLMs through Multi-Objective Partitioning

https://github.com/ASoleimaniB/BERT_FEVER

BERT for Evidence Retrieval and Claim Verification

https://github.com/Abdelhamid-bouzid/Deep-metric-learning

Directional Statistics-based Deep Metric Learning for Image Classification and Retrieval

https://github.com/AemikaChow/DATASOURCE

Fashion Landmark Detection in the Wild

https://github.com/AjayKhalsa/convai_smile

TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents

https://github.com/AlberetOZ/WondeRobe_Clothes_test

DeepFashion2: A Versatile Benchmark for Detection, Pose Estimation, Segmentation and Re-Identification of Clothing Images

https://github.com/AleksSol/music_artist_classification

Music Artist Classification with Convolutional Recurrent Neural Networks

https://github.com/Alenush/sirius-spring2021-image2chat

Image Chat: Engaging Grounded Conversations

https://github.com/Alibaba-NLP/CLNER

Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning

https://github.com/Aljaksandr/libhn

Revisiting the Inverted Indices for Billion-Scale Approximate Nearest Neighbors

https://github.com/AmirSh15/FECNet

A Compact Embedding for Facial Expression Similarity

https://github.com/AndlollipopFU/PCB

Beyond Part Models: Person Retrieval with Refined Part Pooling (and a Strong Convolutional Baseline)

https://github.com/AndresPMD/Fine_Grained_Clf

Fine-grained Image Classification and Retrieval by Combining Visual and Locally Pooled Textual Features

https://github.com/AndresPMD/GCN_classification

Multi-Modal Reasoning Graph for Scene-Text Based Fine-Grained Image Classification and Retrieval

https://github.com/AndresPMD/Pytorch-yolo-phoc

Single Shot Scene Text Retrieval

https://github.com/AndresPMD/StacMR

StacMR: Scene-Text Aware Cross-Modal Retrieval

https://github.com/Andrew-Brown1/Smooth_AP

Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval

https://github.com/Aniket7/Transfer-Learning

CNN Features off-the-shelf: an Astounding Baseline for Recognition

https://github.com/Ankur3107/dpr-tf

Dense Passage Retrieval for Open-Domain Question Answering

https://github.com/AnkushMalaker/HUSE

HUSE: Hierarchical Universal Semantic Embeddings

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