Results 201 to 210 of about 118,357 (248)

Explanation strategies in humans versus current explainable artificial intelligence: Insights from image classification

British Journal of Psychology, EarlyView.
Abstract Explainable AI (XAI) methods provide explanations of AI models, but our understanding of how they compare with human explanations remains limited. Here, we examined human participants' attention strategies when classifying images and when explaining how they classified the images through eye‐tracking and compared their attention strategies ...
Ruoxi Qi, Yueyuan Zheng, Yi Yang, Caleb Chen Cao, Janet H. Hsiao   +4 more
wiley   +1 more source

EvolvED: Evolutionary Embeddings to Understand the Generation Process of Diffusion Models

Computer Graphics Forum, EarlyView.
EvolvED visualises how diffusion models generate images by embedding intermediate outputs to preserve semantics and evolutionary structure. It supports analysis via (a) user‐defined goals and prompts, (b) sampling intermediate images, (c) extracting relevant features, and (d) visualising them in structured radial and rectilinear layouts for ...
Vidya Prasad, Hans van Gorp, Christina Humer, Ruud J. G. van Sloun, Anna Vilanova, Nicola Pezzotti   +5 more
wiley   +1 more source

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CRNN-ResNet: Combined CRNN and ResNet Networks for OFDM Receivers

IEEE Transactions on Cognitive Communications and Networking
Deep learning (DL) has exhibited immense potential across several domains, including image classification, speech recognition, and language translation, among others. Furthermore, it has been effectively employed in the domain of wireless communications,
Ruru Mei, Zhugang Wang, Xuan Chen
openaire   +2 more sources

ResNet 50

Convolutional Neural Networks with Swift for Tensorflow, 2021
B. Koonce
openaire   +2 more sources

ResNet and its application to medical image processing: Research progress and challenges

Comput. Methods Programs Biomed., 2023
BACKGROUND AND OBJECTIVE Deep learning, a novel approach and subset of machine learning, has drawn a growing amount of attention from computer vision researchers in recent years.
Wanni Xu, You Fu, Dongmei Zhu
semanticscholar   +1 more source

Attention-Based Adaptive Spectral–Spatial Kernel ResNet for Hyperspectral Image Classification

IEEE Transactions on Geoscience and Remote Sensing, 2020
Hyperspectral images (HSIs) provide rich spectral–spatial information with stacked hundreds of contiguous narrowbands. Due to the existence of noise and band correlation, the selection of informative spectral–spatial kernel features poses a challenge ...
S. K. Roy, Suvojit Manna, Tiecheng Song, L. Bruzzone   +3 more
semanticscholar   +1 more source

An Improving Faster-RCNN With Multi-Attention ResNet for Small Target Detection in Intelligent Autonomous Transport With 6G

IEEE transactions on intelligent transportation systems (Print), 2023
Numerous object detection algorithms, such as Faster RCNN, YOLO and SSD, have been extensively applied to various fields. Both accuracy and speed of the algorithms have been significantly improved. However, as 6G technology develops, the detection effect
Li Yang, Junhong Zhong, Y. Zhang, Sichang Bai, Guoshu Li, Yun Yang, Jian Zhang   +6 more
semanticscholar   +1 more source

AA-ResNet: Energy Efficient All-Analog ResNet Accelerator

2020 IEEE 63rd International Midwest Symposium on Circuits and Systems (MWSCAS), 2020
High energy efficiency is a major concern for emerging machine learning accelerators designed for IoT edge computing. Recent studies propose in-memory and mixed-signal approaches to minimize energy overhead resulting from frequent memory accesses and extensive digital computation.
Jongyup Lim, Myungjoon Choi, Bowen Liu, Taewook Kang, Ziyun Li, Zhehong Wang, Yiqun Zhang, Kaiyuan Yang, David Blaauw, Hun-Seok Kim, Dennis Sylvester   +10 more
openaire   +1 more source

Bearing fault diagnosis method using the joint feature extraction of Transformer and ResNet

Measurement science and technology, 2023
The failure of rotating machinery can be prevented and eliminated by a regular diagnosis of bearings. In deep learning (DL) models of bearing fault diagnosis driven by big data, problems, such as data acquisition difficulties, data distribution imbalance,
Shixi Hou, Ao Lian, Yundi Chu
semanticscholar   +1 more source

Two-Stage Channel Estimation for mmWave Massive MIMO Systems Based on ResNet-UNet

IEEE Systems Journal, 2023
For millimeter wave massive multiple-input multiple-output systems, the transceiver usually adopts a hybrid precoding structure to reduce complexity and cost, which poses great challenges to the acquisition of channel state information, especially in the
Junhui Zhao, Yao Wu, Qingmiao Zhang, Jieyu Liao   +3 more
semanticscholar   +1 more source