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Found 14 papers, 4 papers with code
I2CANSAY:Inter-Class Analogical Augmentation and Intra-Class Significance Analysis for Non-Exemplar Online Task-Free Continual Learning
Online task-free continual learning (OTFCL) is a more challenging variant of continual learning which emphasizes the gradual shift of task boundaries and learns in an online mode.
Towards Unbiased Label Distribution Learning for Facial Pose Estimation Using Anisotropic Spherical Gaussian
In this paper, we propose an Anisotropic Spherical Gaussian (ASG)-based LDL approach for facial pose estimation.
On Mitigating Hard Clusters for Face Clustering
Face clustering is a promising way to scale up face recognition systems using large-scale unlabeled face images.
Causal Intervention for Subject-Deconfounded Facial Action Unit Recognition
Subject-invariant facial action unit (AU) recognition remains challenging for the reason that the data distribution varies among subjects.
EventFormer: AU Event Transformer for Facial Action Unit Event Detection
Facial action units (AUs) play an indispensable role in human emotion analysis.
DG-Labeler and DGL-MOTS Dataset: Boost the Autonomous Driving Perception
The existing MOTS studies face two critical challenges: 1) the published datasets inadequately capture the real-world complexity for network training to address various driving settings; 2) the working pipeline annotation tool is under-studied in the literature to improve the quality of MOTS learning examples.
Zero-bias Deep Neural Network for Quickest RF Signal Surveillance
In this paper, we provide a deep learning framework for RF signal surveillance.
Density-Based Clustering with Kernel Diffusion
Finding a suitable density function is essential for density-based clustering algorithms such as DBSCAN and DPC.
SG-Net: Spatial Granularity Network for One-Stage Video Instance Segmentation
Video instance segmentation (VIS) is a new and critical task in computer vision.
Hierarchical Attention Fusion for Geo-Localization
We extract the hierarchical feature maps from a convolutional neural network (CNN) and organically fuse the extracted features for image representations.
DenserNet: Weakly Supervised Visual Localization Using Multi-scale Feature Aggregation
In this work, we introduce a Denser Feature Network (DenserNet) for visual localization.
A Vector-based Representation to Enhance Head Pose Estimation
This paper proposes to use the three vectors in a rotation matrix as the representation in head pose estimation and develops a new neural network based on the characteristic of such representation.
Visual Localization for Autonomous Driving: Mapping the Accurate Location in the City Maze
It is a common practice for vehicles to use GPS to acquire location information.
ICFVR 2017: 3rd International Competition on Finger Vein Recognition
The development of finger vein recognition algorithms heavily depends on large-scale real-world data sets.
