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Search results for deep learning retrieval
deep-learning
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retrieval
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16 search results found
Beir
⭐
1,370
A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.
Retro Pytorch
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784
Implementation of RETRO, Deepmind's Retrieval based Attention net, in Pytorch
Memorizing Transformers Pytorch
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556
Implementation of Memorizing Transformers (ICLR 2022), attention net augmented with indexing and retrieval of memories using approximate nearest neighbors, in Pytorch
Deep_recommenders
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282
Deep Recommenders
Hdc.caffe
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97
Complete Code for "Hard-Aware-Deeply-Cascaded-Embedding"
Salbow
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45
Saliency Weighted Convolutional Features for Instance Search
Tf_retrieval_baseline
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36
A Tensorflow retrieval (space embedding) baseline. Metric learning baseline on CUB and Stanford Online Products.
Marge Pytorch
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36
Implementation of Marge, Pre-training via Paraphrasing, in Pytorch
Cvpr2020_pads
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36
Code for "PADS: Policy-Adapted Sampling for Visual Similarity Learning" (CVPR 2020)
Mihash
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28
Implementation of our ICCV 2017 paper: MIHash - Hashing with Mutual Information
Tranception Pytorch
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24
Implementation of Tranception, an attention network, paired with retrieval, that is SOTA for protein fitness prediction
Oodretrieval
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23
Detection and Retrieval of Out-of-Distribution Objects in Semantic Segmentation
Mengzi Retrieval Lm
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23
An experimental implementation of the retrieval-enhanced language model
Retrieval Augmented Ddpm
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21
Implementation of Retrieval-Augmented Denoising Diffusion Probabilistic Models in Pytorch
Vod
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20
Retrieval-augmented LMs, at scale
Mhcln
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15
Deep Metric and Hash Code Learning Network for Content Based Retrieval of Remote Sensing Images
Word Recognition And Retrieval
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13
Code implementation for our DAS, 2020 paper titled "Fused Text Recogniser and Deep Embeddings Improve Word Recognition and Retrieval"
Patchaugnet
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12
PatchAugNet: Patch feature augmentation-based heterogeneous point cloud place recognition in large-scale street scenes
Distilled Retriever Pytorch
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11
Implementation of the retriever distillation procedure as outlined in the paper "Distilling Knowledge from Reader to Retriever"
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1-16 of 16 search results
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