machine-learningmetric-learning
pythoninfrastructuremachine-learningnatural-language-processinginformation-retrievalresearchreinforcement-learningcomputer-visiondeep-learningtext-classificationdistributed-computingimage-processingpytorchimage-classificationmetric-learningrecommender-systemobject-detectionimage-segmentationreproducibilitytext-segmentation ...
With conda you can run the following commands: conda install numpy matplotlib tqdm scikit-learn conda install pytorch torchvision -c pytorch Installation # Download the code git clone git@es.naverlabs.com:jon-almazan/deep-image-retrieval.git # Create env variables cd deep-image-retrieval export ...
Recently, synthesizing images from natural language descriptions [1], [2] has been attracting more and more attentions in research communities, due to its great importance in many practical applications, such as cross-modal retrieval [3], [4], [5], [6], captioning [7], [8], [9], [10...
Searching of human face images has become an important research problem enabling many real world applications. This paper intends to discuss a Face image retrieval method that aims to improve the content based image retrieval by processing the image to perform face detection ,facial landmark ...
In this algorithm, the phase masks used for encryption were obtained using an iterative phase retrieval algorithm. The encrypted image was then generated through cascaded quaternion GTs with different rotation angles. In quaternion GTs, the parameters and phases serve as encryption keys. Knowing these...
**Image Retrieval** is a fundamental and long-standing computer vision task that involves finding images similar to a provided query from a large database. It's often considered as a form of fine-grained, instance-level classification. Not just integral
Image Retrieval on NUS-WIDE Image Retrieval View MAP by Date Created with Highcharts 9.3.0MAPDTQDTQOther modelsModels with highest MAP22. Oct0.801 Filter:untagged Edit Leaderboard RankModelMAPPaperCodeResultYearTags 1 DTQ 0.801 Deep Triplet Quantization...
1 papers with code • 1 benchmarks • 1 datasets ChatIR: a Chat-based Image Retrieval system that engages in a conversation with the user to elicit information, in addition to an initial query, in order to clarify the user’s search intent. ...
This paper functions as a tutorial for individuals interested to enter the field of information retrieval but wouldn't know where to begin from. It describes two fundamental yet efficient image retrieval techniques, the first being k - nearest neighbors (knn) and the second support vector machines...