3404 papers with code • 1 benchmarks • 21 datasets

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Use these libraries to find Retrieval models and implementations
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Most implemented papers

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

huanghoujing/person-reid-triplet-loss-baseline 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

tkipf/relational-gcn 17 Mar 2017

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 23 Jan 2019

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 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

Relja/netvlad CVPR 2016

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 5 May 2018

Neural net classifiers trained on data with annotated class labels can also capture apparent visual similarity among categories without being directed to do so.

Fine-tuning CNN Image Retrieval with No Human Annotation

filipradenovic/cnnimageretrieval-pytorch 3 Nov 2017

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.

CodeSearchNet Challenge: Evaluating the State of Semantic Code Search

github/CodeSearchNet 20 Sep 2019

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.

Large-Scale Image Retrieval with Attentive Deep Local Features

tensorflow/models ICCV 2017

We propose an attentive local feature descriptor suitable for large-scale image retrieval, referred to as DELF (DEep Local Feature).