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Farec—CNN based Efficient Face Recognition Technique using DLIB
A dataset for face recognition using CNN-based efficient face recognition technique -
Lips-State Detection Using CNN for Non-Verbal Communications
A dataset for lips-state detection using CNN for non-verbal communications -
Embedding Deep Metric for Person Re-identification: A Study Against Large Vari...
Person re-identification is challenging due to the large variations of pose, illumination, occlusion and camera view. Owing to these variations, the pedestrian data is... -
Convolutional Neural Network for Efficient Estimation of Regional Brain Strains
A convolutional neural network for efficient estimation of regional brain strains -
Efficient deep CNN-based fire detection and localization in video surveillanc...
Efficient deep CNN-based fire detection and localization -
Efficient CNN with uncorrelated Bag of Features
The proposed approach is evaluated on three different datasets: MNIST, fashionMNIST, and CIFAR10. -
pvCNN: Privacy-Preserving and Verifiable Convolutional Neural Network Testing
We propose a new approach for privacy-preserving and verifiable convolutional neural network (CNN) testing in a distrustful multi-stakeholder environment. -
Optimally Scheduling CNN Convolutions for Efficient Memory Access
The dataset used in this paper is a CNN convolutional layer loop-nest, which is a 6-level loop-nest representing the convolutional layer of a CNN. -
A CNN-BiLSTM Model with Attention Mechanism for Earthquake Prediction
Earthquake prediction using CNN-BiLSTM-AM model -
SynExp Invariance Theorem
The dataset used in the paper is not explicitly mentioned, but it is implied to be a CNN model on CIFAR-10 and ImageNet. -
Decision Support System for Detection and Classification of Skin Cancer using...
Skin Cancer detection and classification using CNN -
A Hybrid CNN-BiLSTM VOICE ACTIVITY DETECTOR
A hybrid CNN-BiLSTM VOICE ACTIVITY DETECTOR for voice activity detection (VAD) incorporating both convolutional neural network (CNN) and bidirectional long short-term memory... -
DeepRA: Predicting Joint Damage from Radiographs Using CNN with Attention
Joint damage in Rheumatoid Arthritis (RA) is assessed by manually inspecting and grading radio-graphs of hands and feet. This is a tedious task which requires trained experts... -
Conformer: Local Features Coupling Global Representations
Conformer is a dual network structure that combines CNN-based local features with transformer-based global representations for enhanced representation learning. -
Cyber Threat Intelligence for Secure Smart City
The proposed hybrid DL model uses CNN and QRNN models to classify threats in smart cities. -
CNN/DailyMail
A bus driver who was seriously injured when he was hit by a steam engine is making good progress, his wife has said. -
Federated Unlearning via Class-Discriminative Pruning
We explore the problem of selectively forgetting categories from trained CNN classification models in federated learning (FL). -
L2CS-NET: FINE-GRAINED GAZE ESTIMATION IN UNCONSTRAINED ENVIRONMENTS
Human gaze is a crucial cue used in various applications such as human-robot interaction and virtual reality. Recently, convolution neural network (CNN) approaches have made... -
Exploring Advances in Transformers and CNN for Skin Lesion Diagnosis on Small...
Skin cancer is one of the most common types of cancer in the world. Different computer-aided diagnosis systems have been proposed to tackle skin lesion diagnosis, most of them...
