Track topics on Twitter Track topics that are important to you
Hashing has been widely used for large-scale approximate nearest neighbor search due to its storage and search efficiency. Recent supervised hashing research has shown that deep learning-based methods can significantly outperform nondeep methods. Most existing supervised deep hashing methods exploit supervisory signals to generate similar and dissimilar image pairs for training. However, natural images can have large intraclass and small interclass variations, which may degrade the accuracy of hash codes. To address this problem, we propose a novel two-stream ConvNet architecture, which learns hash codes with class-specific representation centers. Our basic idea is that if we can learn a unified binary representation for each class as a center and encourage hash codes of images to be close to the corresponding centers, the intraclass variation will be greatly reduced. Accordingly, we design a neural network that leverages label information and outputs a unified binary representation for each class. Moreover, we also design an image network to learn hash codes from images and force these hash codes to be close to the corresponding class-specific centers. These two neural networks are then seamlessly incorporated to create a unified, end-to-end trainable framework. Extensive experiments on three popular benchmarks corroborate that our proposed method outperforms current state-of-the-art methods.
This article was published in the following journal.
Name: IEEE transactions on neural networks and learning systems
Deep supervised hashing has emerged as an effective solution to large-scale semantic image retrieval problems in computer vision. Convolutional neural network-based hashing methods typically seek pair...
Retrieving nearest neighbors across correlated data in multiple modalities, such as image-text pairs on Facebook and video-tag pairs on YouTube, has become a challenging task due to the huge amount of...
Binary vector embeddings enable fast nearest neighbor retrieval in large databases of high-dimensional objects, and play an important role in many practical applications, such as image and video retri...
Representing images by compact hash codes is an attractive approach for large-scale content-based image retrieval. In most state-of-the-art hashing-based image retrieval systems, for each image, local...
For large-scale image retrieval, hashing has been extensively explored in approximate nearest neighbor search methods due to its low storage and high computational efficiency. With the development of ...
This study compares the efficacy of a supervised rehabilitation program vs a non supervised rehabilitation program on pain, disability, quality of life and kinesiophobia in patients with n...
The precise mechanisms underlying cerebral regulation of lower urinary tract (LUT) function are still poorly understood. Patients with deep brain stimulation (DBS) offer the unique opportu...
The Stroke Rehabilitation Assessment of Movement (STREAM) is a relatively new measurement tool, which measures specific movement deficits (impairments) caused by a stroke. The STREAM is u...
This study aims to evaluate the use of deep neuromuscular blockade and low-pressure pneumoperitoneum in bariatric surgery. The investigators propose to conduct a double-blind randomized co...
Specific Aims/Study Objectives: 1. Evaluate acceptability and implementation of the "Oh Happy Day: Still I Rise Class," which comprise a one-time 4-hour class in which participants will l...
Education centers authorized by the Comprehensive Health Manpower Training Act, 1971, for the training of health personnel in areas where health needs are the greatest. May be used for centers other than those established by the United States act.
DEEP VEIN THROMBOSIS of an upper extremity vein (e.g., AXILLARY VEIN; SUBCLAVIAN VEIN; and JUGULAR VEINS). It is associated with mechanical factors (Upper Extremity Deep Vein Thrombosis, Primary) secondary to other anatomic factors (Upper Extremity Deep Vein Thrombosis, Secondary). Symptoms may include sudden onset of pain, warmth, redness, blueness, and swelling in the arm.
A class of G-protein-coupled receptors that are specific for CANNABINOIDS such as those derived from CANNABIS. They also bind a structurally distinct class of endogenous factors referred to as ENDOCANNABINOIDS. The receptor class may play a role in modulating the release of signaling molecules such as NEUROTRANSMITTERS and CYTOKINES.
A medical facility which provides a high degree of subspecialty expertise for patients from centers where they received SECONDARY CARE.
Health facilities providing therapy and/or rehabilitation for substance-dependent individuals. Methadone distribution centers are included.
Standard antiretroviral therapy (ART) consists of the combination of at least three antiretroviral (ARV) drugs to maximally suppress the HIV virus and stop the progression of HIV disease. Huge reductions have been seen in rates of death and suffering whe...