Alert button

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

Detection of ADHD based on Eye Movements during Natural Viewing

Jul 14, 2022
Shuwen Deng, Paul Prasse, David R. Reich, Sabine Dziemian, Maja Stegenwallner-Schütz, Daniel Krakowczyk, Silvia Makowski, Nicolas Langer, Tobias Scheffer, Lena A. Jäger

Figure 1 for Detection of ADHD based on Eye Movements during Natural Viewing
Figure 2 for Detection of ADHD based on Eye Movements during Natural Viewing
Figure 3 for Detection of ADHD based on Eye Movements during Natural Viewing
Figure 4 for Detection of ADHD based on Eye Movements during Natural Viewing
Viaarxiv icon

Improving Meta-Learning Generalization with Activation-Based Early-Stopping

Aug 03, 2022
Simon Guiroy, Christopher Pal, Gonçalo Mordido, Sarath Chandar

Figure 1 for Improving Meta-Learning Generalization with Activation-Based Early-Stopping
Figure 2 for Improving Meta-Learning Generalization with Activation-Based Early-Stopping
Figure 3 for Improving Meta-Learning Generalization with Activation-Based Early-Stopping
Figure 4 for Improving Meta-Learning Generalization with Activation-Based Early-Stopping
Viaarxiv icon

RDU: A Region-based Approach to Form-style Document Understanding

Jun 14, 2022
Fengbin Zhu, Chao Wang, Wenqiang Lei, Ziyang Liu, Tat Seng Chua

Figure 1 for RDU: A Region-based Approach to Form-style Document Understanding
Figure 2 for RDU: A Region-based Approach to Form-style Document Understanding
Figure 3 for RDU: A Region-based Approach to Form-style Document Understanding
Figure 4 for RDU: A Region-based Approach to Form-style Document Understanding
Viaarxiv icon

Ranking the information content of distance measures

Apr 30, 2021
Aldo Glielmo, Claudio Zeni, Bingqing Cheng, Gabor Csanyi, Alessandro Laio

Figure 1 for Ranking the information content of distance measures
Figure 2 for Ranking the information content of distance measures
Figure 3 for Ranking the information content of distance measures
Viaarxiv icon

Finite-Sample Maximum Likelihood Estimation of Location

Jun 06, 2022
Shivam Gupta, Jasper C. H. Lee, Eric Price, Paul Valiant

Figure 1 for Finite-Sample Maximum Likelihood Estimation of Location
Figure 2 for Finite-Sample Maximum Likelihood Estimation of Location
Viaarxiv icon

Eliminating The Impossible, Whatever Remains Must Be True

Jun 20, 2022
Jinqiang Yu, Alexey Ignatiev, Peter J. Stuckey, Nina Narodytska, Joao Marques-Silva

Figure 1 for Eliminating The Impossible, Whatever Remains Must Be True
Figure 2 for Eliminating The Impossible, Whatever Remains Must Be True
Figure 3 for Eliminating The Impossible, Whatever Remains Must Be True
Figure 4 for Eliminating The Impossible, Whatever Remains Must Be True
Viaarxiv icon

MASNet:Improve Performance of Siamese Networks with Mutual-attention for Remote Sensing Change Detection Tasks

Jun 06, 2022
Hongbin Zhou, Yupeng Ren, Qiankun Li, Jun Yin, Yonggang Lin

Figure 1 for MASNet:Improve Performance of Siamese Networks with Mutual-attention for Remote Sensing Change Detection Tasks
Figure 2 for MASNet:Improve Performance of Siamese Networks with Mutual-attention for Remote Sensing Change Detection Tasks
Figure 3 for MASNet:Improve Performance of Siamese Networks with Mutual-attention for Remote Sensing Change Detection Tasks
Figure 4 for MASNet:Improve Performance of Siamese Networks with Mutual-attention for Remote Sensing Change Detection Tasks
Viaarxiv icon

A Superimposed Divide-and-Conquer Image Recognition Method for SEM Images of Nanoparticles on The Surface of Monocrystalline silicon with High Aggregation Degree

Jun 04, 2022
Ruiling Xiao, Jiayang Niu

Figure 1 for A Superimposed Divide-and-Conquer Image Recognition Method for SEM Images of Nanoparticles on The Surface of Monocrystalline silicon with High Aggregation Degree
Figure 2 for A Superimposed Divide-and-Conquer Image Recognition Method for SEM Images of Nanoparticles on The Surface of Monocrystalline silicon with High Aggregation Degree
Figure 3 for A Superimposed Divide-and-Conquer Image Recognition Method for SEM Images of Nanoparticles on The Surface of Monocrystalline silicon with High Aggregation Degree
Figure 4 for A Superimposed Divide-and-Conquer Image Recognition Method for SEM Images of Nanoparticles on The Surface of Monocrystalline silicon with High Aggregation Degree
Viaarxiv icon

OSFormer: One-Stage Camouflaged Instance Segmentation with Transformers

Jul 08, 2022
Jialun Pei, Tianyang Cheng, Deng-Ping Fan, He Tang, Chuanbo Chen, Luc Van Gool

Figure 1 for OSFormer: One-Stage Camouflaged Instance Segmentation with Transformers
Figure 2 for OSFormer: One-Stage Camouflaged Instance Segmentation with Transformers
Figure 3 for OSFormer: One-Stage Camouflaged Instance Segmentation with Transformers
Figure 4 for OSFormer: One-Stage Camouflaged Instance Segmentation with Transformers
Viaarxiv icon

GE-Grasp: Efficient Target-Oriented Grasping in Dense Clutter

Jul 25, 2022
Zhan Liu, Ziwei Wang, Sichao Huang, Jie Zhou, Jiwen Lu

Figure 1 for GE-Grasp: Efficient Target-Oriented Grasping in Dense Clutter
Figure 2 for GE-Grasp: Efficient Target-Oriented Grasping in Dense Clutter
Figure 3 for GE-Grasp: Efficient Target-Oriented Grasping in Dense Clutter
Figure 4 for GE-Grasp: Efficient Target-Oriented Grasping in Dense Clutter
Viaarxiv icon