https://github.com/gmberton/VPR-methods-evaluation
EigenPlaces: Training Viewpoint Robust Models for Visual Place Recognition
Papers with Code 아카이브
Retrieval
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 보존된 평가 기록
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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/golsun/dialogrpt
ConveRT: Efficient and Accurate Conversational Representations from Transformers
https://github.com/gonglinyuan/safim
https://github.com/google-deepmind/narrativeqa
https://github.com/google-research-datasets/Crisscrossed-Captions
Crisscrossed Captions: Extended Intramodal and Intermodal Semantic Similarity Judgments for MS-COCO
https://github.com/google-research/chirp
BIRB: A Generalization Benchmark for Information Retrieval in Bioacoustics
https://github.com/google-research/google-research/tree/master/poem
View-Invariant, Occlusion-Robust Probabilistic Embedding for Human Pose
https://github.com/google-research/spherical-cnn
Learning SO(3) Equivariant Representations with Spherical CNNs
https://github.com/google-research/t5x_retrieval
https://github.com/google-research/trecs_image_generation
Text-to-Image Generation Grounded by Fine-Grained User Attention
https://github.com/google/active-qa
Ask the Right Questions: Active Question Reformulation with Reinforcement Learning
https://github.com/google/tirg
Composing Text and Image for Image Retrieval - An Empirical Odyssey
https://github.com/googleinterns/protein-embedding-retrieval
https://github.com/gorjanradevski/vsepp_tensorflow
VSE++: Improving Visual-Semantic Embeddings with Hard Negatives
https://github.com/gotbutchi/Coderschool-Machine-Learning-Final-Project
Deep Learning-Based Automatic Downbeat Tracking: A Brief Review
https://github.com/gregbugaj/unet-denoiser
Binary Document Image Super Resolution for Improved Readability and OCR Performance
https://github.com/gtolias/rmac
Particular object retrieval with integral max-pooling of CNN activations
https://github.com/guillaumejaume/tuto-dl-on-graphs
https://github.com/gujingxiao/BaiduStar2020-Traffic-Sign-Detection-And-Pair-Competition-Solution
2nd Place and 2nd Place Solution to Kaggle Landmark Recognition andRetrieval Competition 2019
https://github.com/gupta-keshav/HUSE-TF
https://github.com/guramritpalsaggu/HUSE-Tensorflow
https://github.com/gusye1234/nano-graphrag
From Local to Global: A Graph RAG Approach to Query-Focused Summarization
https://github.com/guxm2021/alt_speechbrain
End-to-end Lyrics Alignment for Polyphonic Music Using an Audio-to-Character Recognition Model
https://github.com/h2oai/h2ogpt
https://github.com/hackerchenzhuo/LaKo
Distilling Knowledge from Reader to Retriever for Question Answering
https://github.com/hafezgh/Music_genre_classification
Music Artist Classification with Convolutional Recurrent Neural Networks
https://github.com/hahnec/color-matcher
https://github.com/hanglics/Neural-Relevance-Feedback-Public
Pseudo Relevance Feedback with Deep Language Models and Dense Retrievers: Successes and Pitfalls
https://github.com/hanq0212/IIAE-Pytorch
Variational Interaction Information Maximization for Cross-domain Disentanglement
https://github.com/hanzhanggit/StackGAN-inception-model
Learning Deep Representations of Fine-grained Visual Descriptions
https://github.com/hanzhanggit/StackGAN-v2
Learning Deep Representations of Fine-grained Visual Descriptions
https://github.com/haon-chen/ase-official
https://github.com/haonan3/CGIR
https://github.com/haradai1262/scdv
SCDV : Sparse Composite Document Vectors using soft clustering over distributional representations
https://github.com/harshitsinghai77/hierarchical-universal-semantic-embeddings
https://github.com/hatimwen/paddle_hashnet
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.