Papers Image Similarity Search
“Image Similarity Search” 태그가 달린 논문 18편 · 필터 해제
BoQ: A Place is Worth a Bag of Learnable Queries
In visual place recognition, accurately identifying and matching images of locations under varying environmental conditions and viewpoints remains a significant challenge. In this paper, we introduce a new technique, cal…
Image Similarity SearchRetrievalVisual Place RecognitionLearnable Prompt for Few-Shot Semantic Segmentation in Remote Sensing Domain
Few-shot segmentation is a task to segment objects or regions of novel classes within an image given only a few annotated examples. In the generalized setting, the task extends to segment both the base and the novel clas…
Few-Shot Semantic SegmentationImage InpaintingImage Similarity SearchSemantic SegmentationSpatially Optimized Compact Deep Metric Learning Model for Similarity Search
Spatial optimization is often overlooked in many computer vision tasks. Filters should be able to recognize the features of an object regardless of where it is in the image. Similarity search is a crucial task where spat…
Image Similarity SearchMetric LearningDeep Hashing via Householder Quantization
Hashing is at the heart of large-scale image similarity search, and recent methods have been substantially improved through deep learning techniques. Such algorithms typically learn continuous embeddings of the data. To …
BinarizationDeep HashingImage Similarity SearchMetric Learning+1CorrEmbed: Evaluating Pre-trained Model Image Similarity Efficacy with a Novel Metric
Detecting visually similar images is a particularly useful attribute to look to when calculating product recommendations. Embedding similarity, which utilizes pre-trained computer vision models to extract high-level imag…
AttributeImage Similarity SearchTAGLRVS-Fashion: Extending Visual Search with Referring Instructions
This paper introduces a new challenge for image similarity search in the context of fashion, addressing the inherent ambiguity in this domain stemming from complex images. We present Referred Visual Search (RVS), a task …
Contrastive LearningImage Similarity Searchobject-detectionObject DetectionElasticHash: Semantic Image Similarity Search by Deep Hashing with Elasticsearch
We present ElasticHash, a novel approach for high-quality, efficient, and large-scale semantic image similarity search. It is based on a deep hashing model to learn hash codes for fine-grained image similarity search in …
Deep HashingImage Similarity SearchRetrievalSemantic Image SimilarityGlobal Proxy-based Hard Mining for Visual Place Recognition
Learning deep representations for visual place recognition is commonly performed using pairwise or triple loss functions that highly depend on the hardness of the examples sampled at each training iteration. Existing tec…
Image RetrievalImage Similarity SearchMetric LearningTriplet+1Intra-class Adaptive Augmentation with Neighbor Correction for Deep Metric Learning
Deep metric learning aims to learn an embedding space, where semantically similar samples are close together and dissimilar ones are repelled against. To explore more hard and informative training signals for augmentatio…
Image AugmentationImage RetrievalImage Similarity SearchMetric Learning+3Learning an Adaptation Function to Assess Image Visual Similarities
Human perception is routinely assessing the similarity between images, both for decision making and creative thinking. But the underlying cognitive process is not really well understood yet, hence difficult to be mimicke…
Image CategorizationImage Similarity SearchMetric LearningRetrievalScalable Reverse Image Search Engine for NASAWorldview
Researchers often spend weeks sifting through decades of unlabeled satellite imagery(on NASA Worldview) in order to develop datasets on which they can start conducting research. We developed an interactive, scalable and …
Dataset GenerationImage RetrievalImage Similarity SearchPlaying the Game of 2048Axiomatic Explanations for Visual Search, Retrieval, and Similarity Learning
Visual search, recommendation, and contrastive similarity learning power technologies that impact billions of users worldwide. Modern model architectures can be complex and difficult to interpret, and there are several c…
counterfactualFairnessImage RetrievalImage Similarity Search+1Where Are the Facts? Searching for Fact-checked Information to Alleviate the Spread of Fake News
Although many fact-checking systems have been developed in academia and industry, fake news is still proliferating on social media. These systems mostly focus on fact-checking but usually neglect online users who are the…
ArticlesFact CheckingFact VerificationFake News Detection+1E-LPIPS: Robust Perceptual Image Similarity via Random Transformation Ensembles
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. Fi…
Image Similarity SearchA Similarity Measure for Material Appearance
We present a model to measure the similarity in appearance between different materials, which correlates with human similarity judgments. We first create a database of 9,000 rendered images depicting objects with varying…
ClusteringImage Similarity SearchLink and code: Fast indexing with graphs and compact regression codes
Similarity search approaches based on graph walks have recently attained outstanding speed-accuracy trade-offs, taking aside the memory requirements. In this paper, we revisit these approaches by considering, additionall…
Image Similarity SearchQuantizationregressionBillion-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. T…
GPUImage Similarity SearchQuantizationContextual Visual Similarity
Measuring visual similarity is critical for image understanding. But what makes two images similar? Most existing work on visual similarity assumes that images are similar because they contain the same object instance or…
AttributeImage RetrievalImage Similarity Search