Alert button

"Time": models, code, and papers
Alert button

Liquid Time-constant Recurrent Neural Networks as Universal Approximators

Nov 01, 2018
Ramin M. Hasani, Mathias Lechner, Alexander Amini, Daniela Rus, Radu Grosu

Viaarxiv icon

Thinkback: Task-SpecificOut-of-Distribution Detection

Jul 13, 2021
Lixuan Yang, Dario Rossi

Figure 1 for Thinkback: Task-SpecificOut-of-Distribution Detection
Figure 2 for Thinkback: Task-SpecificOut-of-Distribution Detection
Viaarxiv icon

A Proactive Management Scheme for Data Synopses at the Edge

Jul 22, 2021
Kostas Kolomvatsos, Christos Anagnostopoulos

Figure 1 for A Proactive Management Scheme for Data Synopses at the Edge
Figure 2 for A Proactive Management Scheme for Data Synopses at the Edge
Figure 3 for A Proactive Management Scheme for Data Synopses at the Edge
Figure 4 for A Proactive Management Scheme for Data Synopses at the Edge
Viaarxiv icon

Real-Time Semantic Segmentation via Multiply Spatial Fusion Network

Nov 17, 2019
Haiyang Si, Zhiqiang Zhang, Feifan Lv, Gang Yu, Feng Lu

Figure 1 for Real-Time Semantic Segmentation via Multiply Spatial Fusion Network
Figure 2 for Real-Time Semantic Segmentation via Multiply Spatial Fusion Network
Figure 3 for Real-Time Semantic Segmentation via Multiply Spatial Fusion Network
Figure 4 for Real-Time Semantic Segmentation via Multiply Spatial Fusion Network
Viaarxiv icon

Survival Prediction of Heart Failure Patients using Stacked Ensemble Machine Learning Algorithm

Aug 30, 2021
S. M Mehedi Zaman, Wasay Mahmood Qureshi, Md. Mohsin Sarker Raihan, Ocean Monjur, Abdullah Bin Shams

Figure 1 for Survival Prediction of Heart Failure Patients using Stacked Ensemble Machine Learning Algorithm
Figure 2 for Survival Prediction of Heart Failure Patients using Stacked Ensemble Machine Learning Algorithm
Figure 3 for Survival Prediction of Heart Failure Patients using Stacked Ensemble Machine Learning Algorithm
Figure 4 for Survival Prediction of Heart Failure Patients using Stacked Ensemble Machine Learning Algorithm
Viaarxiv icon

Plant Disease Detection Using Image Processing and Machine Learning

Jun 20, 2021
Pranesh Kulkarni, Atharva Karwande, Tejas Kolhe, Soham Kamble, Akshay Joshi, Medha Wyawahare

Figure 1 for Plant Disease Detection Using Image Processing and Machine Learning
Figure 2 for Plant Disease Detection Using Image Processing and Machine Learning
Figure 3 for Plant Disease Detection Using Image Processing and Machine Learning
Figure 4 for Plant Disease Detection Using Image Processing and Machine Learning
Viaarxiv icon

Unsupervised Place Recognition with Deep Embedding Learning over Radar Videos

Jun 12, 2021
Matthew Gadd, Daniele De Martini, Paul Newman

Figure 1 for Unsupervised Place Recognition with Deep Embedding Learning over Radar Videos
Figure 2 for Unsupervised Place Recognition with Deep Embedding Learning over Radar Videos
Figure 3 for Unsupervised Place Recognition with Deep Embedding Learning over Radar Videos
Figure 4 for Unsupervised Place Recognition with Deep Embedding Learning over Radar Videos
Viaarxiv icon

A deep neural network for multi-species fish detection using multiple acoustic cameras

Sep 22, 2021
Garcia Fernandez Guglielmo, François Martignac, Marie Nevoux, Laurent Beaulaton, Thomas Corpetti

Figure 1 for A deep neural network for multi-species fish detection using multiple acoustic cameras
Figure 2 for A deep neural network for multi-species fish detection using multiple acoustic cameras
Figure 3 for A deep neural network for multi-species fish detection using multiple acoustic cameras
Figure 4 for A deep neural network for multi-species fish detection using multiple acoustic cameras
Viaarxiv icon

Truth Discovery in Sequence Labels from Crowds

Sep 09, 2021
Nasim Sabetpour, Adithya Kulkarni, Sihong Xie, Qi Li

Figure 1 for Truth Discovery in Sequence Labels from Crowds
Figure 2 for Truth Discovery in Sequence Labels from Crowds
Figure 3 for Truth Discovery in Sequence Labels from Crowds
Figure 4 for Truth Discovery in Sequence Labels from Crowds
Viaarxiv icon

A Deep Learning-based Quality Assessment and Segmentation System with a Large-scale Benchmark Dataset for Optical Coherence Tomographic Angiography Image

Jul 22, 2021
Yufei Wang, Yiqing Shen, Meng Yuan, Jing Xu, Bin Yang, Chi Liu, Wenjia Cai, Weijing Cheng, Wei Wang

Figure 1 for A Deep Learning-based Quality Assessment and Segmentation System with a Large-scale Benchmark Dataset for Optical Coherence Tomographic Angiography Image
Figure 2 for A Deep Learning-based Quality Assessment and Segmentation System with a Large-scale Benchmark Dataset for Optical Coherence Tomographic Angiography Image
Figure 3 for A Deep Learning-based Quality Assessment and Segmentation System with a Large-scale Benchmark Dataset for Optical Coherence Tomographic Angiography Image
Figure 4 for A Deep Learning-based Quality Assessment and Segmentation System with a Large-scale Benchmark Dataset for Optical Coherence Tomographic Angiography Image
Viaarxiv icon