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Found 10 papers, 2 papers with code
A Systematic Review for Transformer-based Long-term Series Forecasting
Various variants have enabled transformer architecture to effectively handle long-term time series forecasting (LTSF) tasks.
Learning Symmetry-Aware Geometry Correspondences for 6D Object Pose Estimation
Taking the symmetry properties of objects into consideration, we design a symmetry-aware matching loss to facilitate the learning of dense point-wise geometry features and improve the performance considerably.
Composite Fixed-Length Ordered Features for Palmprint Template Protection with Diminished Performance Loss
Finally, composite features that fuse up the double orientations and SURF points are transformed using the irreversible transformation of IOM to generate the revocable palmprint template.
A Demographic Attribute Guided Approach to Age Estimation
Face-based age estimation has attracted enormous attention due to wide applications to public security surveillance, human-computer interaction, etc.
Blind Image Inpainting with Sparse Directional Filter Dictionaries for Lightweight CNNs
Blind inpainting algorithms based on deep learning architectures have shown a remarkable performance in recent years, typically outperforming model-based methods both in terms of image quality and run time.
Automatic Facial Skin Feature Detection for Everyone
We present an automatic facial skin feature detection method that works across a variety of skin tones and age groups for selfies in the wild.
Word2Pix: Word to Pixel Cross Attention Transformer in Visual Grounding
Current one-stage methods for visual grounding encode the language query as one holistic sentence embedding before fusion with visual feature.
ROSE: Real One-Stage Effort to Detect the Fingerprint Singular Point Based on Multi-scale Spatial Attention
Detecting the singular point accurately and efficiently is one of the most important tasks for fingerprint recognition.
Singular points detection with semantic segmentation networks
Compared with traditional image processing-based detection methods, methods based on deep learning only need the original fingerprint image but not the fingerprint orientation field.
A Resource-Efficient Embedded Iris Recognition System Using Fully Convolutional Networks
To attain accurate and efficient FCN models, we propose a three-step SW/HW co-design methodology consisting of FCN architectural exploration, precision quantization, and hardware acceleration.
