Image Similarity Search
12 papers with code • 0 benchmarks • 1 datasets
Image credit: The 2021 Image Similarity Dataset and Challenge
Benchmarks
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Libraries
Use these libraries to find Image Similarity Search models and implementations
DISC21
Most implemented papers
Billion-scale similarity search with GPUs
Similarity search finds application in specialized database systems handling complex data such as images or videos, which are typically represented by high-dimensional features and require specific indexing structures.
Link and code: Fast indexing with graphs and compact regression codes
facebookresearch/faiss
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CVPR 2018
Similarity search approaches based on graph walks have recently attained outstanding speed-accuracy trade-offs, taking aside the memory requirements.
Where Are the Facts? Searching for Fact-checked Information to Alleviate the Spread of Fake News
nguyenvo09/EMNLP2020
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EMNLP 2020
The search can directly warn fake news posters and online users (e. g. the posters' followers) about misinformation, discourage them from spreading fake news, and scale up verified content on social media.
A Similarity Measure for Material Appearance
mlagunas/material-appearance-similarity
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We present a model to measure the similarity in appearance between different materials, which correlates with human similarity judgments.
E-LPIPS: Robust Perceptual Image Similarity via Random Transformation Ensembles
mkettune/elpips
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It has been recently shown that the hidden variables of convolutional neural networks make for an efficient perceptual similarity metric that accurately predicts human judgment on relative image similarity assessment.
Learning an Adaptation Function to Assess Image Visual Similarities
VieVie31/visual-similarity
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As a consequence, such features are powerful to compare semantically related images but not really efficient to compare images visually similar but semantically unrelated.
Intra-class Adaptive Augmentation with Neighbor Correction for Deep Metric Learning
They have overlooked the wide characteristic changes of different classes and can not model abundant intra-class variations for generations.
Global Proxy-based Hard Mining for Visual Place Recognition
These proxy representations are thus used to construct a global index that encompasses the similarities between all places in the dataset, allowing for highly informative mini-batch sampling at each training iteration.
ElasticHash: Semantic Image Similarity Search by Deep Hashing with Elasticsearch
It is based on a deep hashing model to learn hash codes for fine-grained image similarity search in natural images and a two-stage method for efficiently searching binary hash codes using Elasticsearch (ES).
Weakly-Supervised Conditional Embedding for Referred Visual Search
simon-lepage/condvit-lrvsf
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This paper presents a new approach to image similarity search in the context of fashion, a domain with inherent ambiguity due to the multiple ways in which images can be considered similar.
