Retrieval
3898 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
MVK
DIOR-RSVG
BSARD
Most implemented papers
Circle Loss: A Unified Perspective of Pair Similarity Optimization
layumi/Person_reID_baseline_pytorch
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CVPR 2020
This paper provides a pair similarity optimization viewpoint on deep feature learning, aiming to maximize the within-class similarity $s_p$ and minimize the between-class similarity $s_n$.
Visual Dialog
We introduce the task of Visual Dialog, which requires an AI agent to hold a meaningful dialog with humans in natural, conversational language about visual content.
ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks
facebookresearch/vilbert-multi-task
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NeurIPS 2019
We present ViLBERT (short for Vision-and-Language BERT), a model for learning task-agnostic joint representations of image content and natural language.
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances
Optimal transportation distances are a fundamental family of parameterized distances for histograms.
Reading Wikipedia to Answer Open-Domain Questions
facebookresearch/DrQA
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ACL 2017
This paper proposes to tackle open- domain question answering using Wikipedia as the unique knowledge source: the answer to any factoid question is a text span in a Wikipedia article.
VSE++: Improving Visual-Semantic Embeddings with Hard Negatives
fartashf/vsepp
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We present a new technique for learning visual-semantic embeddings for cross-modal retrieval.
Camera Style Adaptation for Person Re-identification
zhunzhong07/CamStyle
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CVPR 2018
In this paper, we explicitly consider this challenge by introducing camera style (CamStyle) adaptation.
Learning Deep Representations of Fine-grained Visual Descriptions
hanzhanggit/StackGAN-v2
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CVPR 2016
State-of-the-art methods for zero-shot visual recognition formulate learning as a joint embedding problem of images and side information.
Looking at Outfit to Parse Clothing
This paper extends fully-convolutional neural networks (FCN) for the clothing parsing problem.
Deep Complex Networks
Despite their attractive properties and potential for opening up entirely new neural architectures, complex-valued deep neural networks have been marginalized due to the absence of the building blocks required to design such models.
