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Found 6 papers, 1 papers with code
Automated Review Generation Method Based on Large Language Models
Literature research, vital for scientific work, faces the challenge of surging information volumes exceeding researchers' processing capabilities.
Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report
Various depth estimation models are now widely used on many mobile and IoT devices for image segmentation, bokeh effect rendering, object tracking and many other mobile tasks.
Multi-modal Residual Perceptron Network for Audio-Video Emotion Recognition
Audio-Video Emotion Recognition is now attacked with Deep Neural Network modeling tools.
ReMOTS: Self-Supervised Refining Multi-Object Tracking and Segmentation
We aim to improve the performance of Multiple Object Tracking and Segmentation (MOTS) by refinement.
Ranked #1 on
Multi-Object Tracking
on MOTS20
Multi-Object Tracking
Multi-Object Tracking and Segmentation
+2
Multiple Object Tracking by Flowing and Fusing
Most of Multiple Object Tracking (MOT) approaches compute individual target features for two subtasks: estimating target-wise motions and conducting pair-wise Re-Identification (Re-ID).
Human Face Expressions from Images - 2D Face Geometry and 3D Face Local Motion versus Deep Neural Features
For geometric features, the success rate (accuracy) indicate nearly triple increase of performance of CNN with respect to SVM classifiers.
