_ | spiking | _ |
Action Recognition Using a Bio-Inspired Feedforward | spiking | Network |
Adaptive Learning Procedure for a Network of | spiking | Neurons and Visual Pattern Recognition |
Attention | spiking | Neural Networks |
Bio-inspired visual attention process using | spiking | neural networks controlling a camera |
Biologically Plausible Illusionary Contrast Perception with | spiking | Neural Networks |
Boundary-Aware Deformable | spiking | Neural Network for Hyperspectral Image Classification |
Brain-inspired Multilayer Perceptron with | spiking | Neurons |
Capture the Moment: High-Speed Imaging With | spiking | Cameras Through Short-Term Plasticity |
Character recognition with two | spiking | neural network models on multicore architectures |
Constructing Deep | spiking | Neural Networks from Artificial Neural Networks with Knowledge Distillation |
Covert Attention with a | spiking | Neural Network |
CQ+ Training: Minimizing Accuracy Loss in Conversion From Convolutional Neural Networks to | spiking | Neural Networks |
DCT-SNN: Using DCT to Distribute Spatial Information over Time for Low-Latency | spiking | Neural Networks |
Deep Directly-Trained | spiking | Neural Networks for Object Detection |
Deep | spiking | Neural Network: Energy Efficiency Through Time Based Coding |
Deep | spiking | Residual Shrinkage Network for Bearing Fault Diagnosis |
Developing Architectures of | spiking | Neural Networks by Using Grammatical Evolution Based on Evolutionary Strategy |
Development of a Novel Transformation of | spiking | Neural Classifier to an Interpretable Classifier |
Discriminative training of | spiking | neural networks organised in columns for stream-based biometric authentication |
Distilling Spikes: Knowledge Distillation in | spiking | Neural Networks |
Edge Detection in Time Variant Scenarios Based on a Novel Perceptual Method and a Gestalt | spiking | Cortical Model |
Effective Transfer Learning Algorithm in | spiking | Neural Networks |
Efficient Converted | spiking | Neural Network for 3D and 2D Classification |
Efficient Pattern Recognition Using the Frequency Response of a | spiking | Neuron |
Energy-Efficient and High-Performance Ship Classification Strategy Based on Siamese | spiking | Neural Network in Dual-Polarized SAR Images |
Event-Based Hough Transform in a | spiking | Neural Network for Multiple Line Detection and Tracking Using a Dynamic Vision Sensor |
Event-based Video Reconstruction via Potential-assisted | spiking | Neural Network |
Exploring Lottery Ticket Hypothesis in | spiking | Neural Networks |
Fast-SNN: Fast | spiking | Neural Network by Converting Quantized ANN |
Feature fusion method based on | spiking | neural convolutional network for edge detection |
Flow cytometry with event-based vision and | spiking | neuromorphic hardware |
Fully | spiking | Hybrid Neural Network for Energy-Efficient Object Detection, A |
Hand Gesture Recognition in Range-Doppler Images Using Binary Activated | spiking | Neural Networks |
High-speed Image Reconstruction through Short-term Plasticity for | spiking | Cameras |
HIRE-SNN: Harnessing the Inherent Robustness of Energy-Efficient Deep | spiking | Neural Networks by Training with Crafted Input Noise |
hybrid differential evolution algorithm for parameter tuning of evolving | spiking | neural network, A |
Hybrid Neural Coding Approach for Pattern Recognition With | spiking | Neural Networks, A |
Image Reconstruction from Neuromorphic Event Cameras using Laplacian-Prediction and Poisson Integration with | spiking | and Artificial Neural Networks |
Incorporating Learnable Membrane Time Constant to Enhance Learning of | spiking | Neural Networks |
Inherent Adversarial Robustness of Deep | spiking | Neural Networks: Effects of Discrete Input Encoding and Non-linear Activations |
Inherent Redundancy in | spiking | Neural Networks |
Investigating | spiking | Neural Networks for Energy-Efficient On-Board AI Applications. A Case Study in Land Cover and Land Use Classification |
Joint A-SNN: Joint training of artificial and | spiking | neural networks via self-Distillation and weight factorization |
Learning hetero-synaptic delays for motion detection in a single layer of | spiking | neurons |
Lipreading with | spiking | Neurons: One Pass Learning |
Live Demonstration: Real-time Event-based Speed Detection using | spiking | Neural Networks |
load balanced mapping for | spiking | neural network, A |
Masked | spiking | Transformer |
Mass Segmentation in Mammograms Based on the Combination of the | spiking | Cortical Model (SCM) and the Improved CV Model |
Membrane Potential Batch Normalization for | spiking | Neural Networks |
Multi-scale decomposition-based CT-MR neurological image fusion using optimized bio-inspired | spiking | neural model with meta-heuristic optimization |
Neural Architecture Search for | spiking | Neural Networks |
Neuromorphic Data Augmentation for Training | spiking | Neural Networks |
Neuron-Based | spiking | Transmission and Reasoning Network for Robust Image-Text Retrieval |
Object Detection for Embedded Systems Using Tiny | spiking | Neural Networks: Filtering Noise Through Visual Attention |
Optical Flow Estimation for | spiking | Camera |
Performance analysis on visual attention using | spiking | and oscillatory neural model |
Performance comparison of DVS data spatial downscaling methods using | spiking | Neural Networks |
Progressive Tandem Learning for Pattern Recognition With Deep | spiking | Neural Networks |
Rate Gradient Approximation Attack Threats Deep | spiking | Neural Networks |
Real Spike: Learning Real-Valued Spikes for | spiking | Neural Networks |
RecDis-SNN: Rectifying Membrane Potential Distribution for Directly Training | spiking | Neural Networks |
Recognizing faces with normalized local Gabor features and | spiking | Neuron Patterns |
Reducing Information Loss for | spiking | Neural Networks |
Remembering Key Features of Visual Images Based on Spike Timing Dependent Plasticity of | spiking | Neurons |
Retina-Like Visual Image Reconstruction via | spiking | Neural Model |
Retinomorphic Event-Based Vision Sensors: Bioinspired Cameras With | spiking | Output |
RMP-Loss: Regularizing Membrane Potential Distribution for | spiking | Neural Networks |
RMP-SNN: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency | spiking | Neural Network |
SA-FlowNet: Event-based self-attention optical flow estimation with | spiking | -analogue neural networks |
SAR image classification based on | spiking | neural network through spike-time dependent plasticity and gradient descent |
Simplified | spiking | neural network architecture and STDP learning algorithm applied to image classification |
Spike timing-based unsupervised learning of orientation, disparity, and motion representations in a | spiking | neural network* |
Spike Transformer: Monocular Depth Estimation for | spiking | Camera |
Spike-Event-Driven Deep | spiking | Neural Network With Temporal Encoding |
Spike-Thrift: Towards Energy-Efficient Deep | spiking | Neural Networks by Limiting Spiking Activity via Attention-Guided Compression |
Spike-Thrift: Towards Energy-Efficient Deep | spiking | Neural Networks by Limiting Spiking Activity via Attention-Guided Compression |
| spiking | Deep Convolutional Neural Networks for Energy-Efficient Object Recognition |
| spiking | Denoising Diffusion Probabilistic Models |
| spiking | GLOM: Bio-Inspired Architecture for Next-Generation Object Recognition |
| spiking | Hough for Shape Recognition |
| spiking | Neural Networks |
| spiking | Neural Networks for Active Time-Resolved SPAD Imaging |
| spiking | Neural Networks for Crop Yield Estimation Based on Spatiotemporal Analysis of Image Time Series |
| spiking | Neural Networks with Single-Spike Temporal-Coded Neurons for Network Intrusion Detection |
| spiking | Transformers for Event-based Single Object Tracking |
SSF: Accelerating Training of | spiking | Neural Networks with Stabilized Spiking Flow |
SSF: Accelerating Training of | spiking | Neural Networks with Stabilized Spiking Flow |
Temporal Pulses Driven | spiking | Neural Network for Time and Power Efficient Object Recognition in Autonomous Driving |
Temporal-Coded | spiking | Neural Networks with Dynamic Firing Threshold: Learning with Event-Driven Backpropagation |
Temporal-wise Attention | spiking | Neural Networks for Event Streams Classification |
Towards Memory- and Time-Efficient Backpropagation for Training | spiking | Neural Networks |
Towards Ultra Low Latency | spiking | Neural Networks for Vision and Sequential Tasks Using Temporal Pruning |
Training High-Performance Low-Latency | spiking | Neural Networks by Differentiation on Spike Representation |
Training | spiking | Neural Networks Using Lessons From Deep Learning |
Ultra-High Temporal Resolution Visual Reconstruction From a Fovea-Like Spike Camera via | spiking | Neuron Model |
Unleashing the Potential of | spiking | Neural Networks with Dynamic Confidence |
Unsupervised Learning of a Hierarchical | spiking | Neural Network for Optical Flow Estimation: From Events to Global Motion Perception |
VOWEL: A Local Online Learning Rule for Recurrent Networks of Probabilistic | spiking | Winner- Take-All Circuits |
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