Retrieval
3825 papers with code • 4 benchmarks • 25 datasets
Libraries
Use these libraries to find Retrieval models and implementations
OK-VQA
Polyvore
PopQA
ARO
ALCE
InfoSeek
QAMPARI
DIOR-RSVG
MVK
BSARD
Most implemented papers
Beyond Part Models: Person Retrieval with Refined Part Pooling (and a Strong Convolutional Baseline)
huanghoujing/person-reid-triplet-loss-baseline
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ECCV 2018
RPP re-assigns these outliers to the parts they are closest to, resulting in refined parts with enhanced within-part consistency.
Modeling Relational Data with Graph Convolutional Networks
We demonstrate the effectiveness of R-GCNs as a stand-alone model for entity classification.
TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents
huggingface/transfer-learning-conv-ai
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We introduce a new approach to generative data-driven dialogue systems (e. g. chatbots) called TransferTransfo which is a combination of a Transfer learning based training scheme and a high-capacity Transformer model.
Dense Passage Retrieval for Open-Domain Question Answering
facebookresearch/DPR
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EMNLP 2020
Open-domain question answering relies on efficient passage retrieval to select candidate contexts, where traditional sparse vector space models, such as TF-IDF or BM25, are the de facto method.
NetVLAD: CNN architecture for weakly supervised place recognition
We tackle the problem of large scale visual place recognition, where the task is to quickly and accurately recognize the location of a given query photograph.
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination
zhirongw/lemniscate.pytorch
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Neural net classifiers trained on data with annotated class labels can also capture apparent visual similarity among categories without being directed to do so.
CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
To enable evaluation of progress on code search, we are releasing the CodeSearchNet Corpus and are presenting the CodeSearchNet Challenge, which consists of 99 natural language queries with about 4k expert relevance annotations of likely results from CodeSearchNet Corpus.
Fine-tuning CNN Image Retrieval with No Human Annotation
filipradenovic/cnnimageretrieval-pytorch
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We show that both hard-positive and hard-negative examples, selected by exploiting the geometry and the camera positions available from the 3D models, enhance the performance of particular-object retrieval.
Large-Scale Image Retrieval with Attentive Deep Local Features
tensorflow/models
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ICCV 2017
We propose an attentive local feature descriptor suitable for large-scale image retrieval, referred to as DELF (DEep Local Feature).
Revisiting the Inverted Indices for Billion-Scale Approximate Nearest Neighbors
This work addresses the problem of billion-scale nearest neighbor search.
