👁️ Computer Vision - zikani03

Benchmarking attention-based methods for vision transformers' interpretability in retinal fundus imaging

🗄️Vector Databases arxiv.org·

Sub-Semantic Image Segmentation

🤖Machine Learning arxiv.org·

Training-Free Metrics for Synthetic Object Detection Data: A Proxy for Detector Performance

🤖Machine Learning Nature·

Convolutional neural network and AI technology for colleges and universities students’ achievement performance prediction

🤖Machine Learning arxiv.org·

An affordable hardware-aware neural architecture search for deploying convolutional neural networks on ultra-low-power computing platforms

🤖Machine Learning arxiv.org·

Enhancing Precision Agriculture with a Hybrid Deep Learning Framework for Multi-Class Plant Disease Classification and Interpretability

🤖Machine Learning Nature·

Research on intelligent generation of volleyball training strategies combining YOLOv5 + DeepSORT trajectory data and a key point CNN model

🤖Machine Learning arxiv.org·

Colab NAS: Obtaining lightweight task-specific convolutional neural networks following Occam's razor

🤖Machine Learning arxiv.org·

Image Encryption Algorithm Based on Convolutional Neural Networks and Dynamic S-Box Generation

🤖Machine Learning Nature·

Agricultural sustainability monitoring in arid regions using hybrid deep learning and Landsat 8 imagery in Najran City, Saudi Arabia

🤖Machine Learning arxiv.org·

FlexPooling with Simple Auxiliary Classifiers in Deep Networks

🤖Machine Learning arxiv.org·

Interpolation between Convolution and Attention via K-Nearest Neighbors

🤖Machine Learning Nature

Reimagining machine vision with optical computing

🤖Machine Learning arxiv.org·

Graph Neural Networks for Semi-Supervised Image Classification with Multi-Feature Aggregation

🤖Machine Learning arxiv.org·

Architectural Bias in Face Presentation Attack Detection: A Comparative Study of Vision Transformers and Convolutional Neural Networks

🤖Machine Learning Nature·

Benchmarking machine learning approaches for polarization mapping in ferroelectrics using 4D-STEM

🤖Machine Learning arxiv.org·

Computer vision deployments drive retail productivity gains

Computer Vision : Chapter 1 (Traditional Chinese)

Optical metasurfaces for general vision processing on the edge

Benchmarking attention-based methods for vision transformers' interpretability in retinal fundus imaging

Sub-Semantic Image Segmentation

Training-Free Metrics for Synthetic Object Detection Data: A Proxy for Detector Performance

Convolutional neural network and AI technology for colleges and universities students’ achievement performance prediction

An affordable hardware-aware neural architecture search for deploying convolutional neural networks on ultra-low-power computing platforms

Enhancing Precision Agriculture with a Hybrid Deep Learning Framework for Multi-Class Plant Disease Classification and Interpretability

Research on intelligent generation of volleyball training strategies combining YOLOv5 + DeepSORT trajectory data and a key point CNN model

Colab NAS: Obtaining lightweight task-specific convolutional neural networks following Occam's razor

Image Encryption Algorithm Based on Convolutional Neural Networks and Dynamic S-Box Generation

Agricultural sustainability monitoring in arid regions using hybrid deep learning and Landsat 8 imagery in Najran City, Saudi Arabia

FlexPooling with Simple Auxiliary Classifiers in Deep Networks

Interpolation between Convolution and Attention via K-Nearest Neighbors

Reimagining machine vision with optical computing

Graph Neural Networks for Semi-Supervised Image Classification with Multi-Feature Aggregation

Architectural Bias in Face Presentation Attack Detection: A Comparative Study of Vision Transformers and Convolutional Neural Networks

Benchmarking machine learning approaches for polarization mapping in ferroelectrics using 4D-STEM

A Dual-Branch Collaborative Framework for Joint Optimization of Underwater Image Enhancement and Object Detection