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Found 5 papers, 3 papers with code
DreamStyler: Paint by Style Inversion with Text-to-Image Diffusion Models
Recent progresses in large-scale text-to-image models have yielded remarkable accomplishments, finding various applications in art domain.
TILDE-Q: A Transformation Invariant Loss Function for Time-Series Forecasting
In this paper, we examine the definition of shape and distortions, which are crucial for shape-awareness in time-series forecasting, and provide a design rationale for the shape-aware loss function.
Variability Matters : Evaluating inter-rater variability in histopathology for robust cell detection
Furthermore, models trained from data annotated with lower inter-labeler variability outperform those from higher inter-labeler variability.
Interactive Multi-Class Tiny-Object Detection
We perform experiments on the Tiny-DOTA and LCell datasets using both two-stage and one-stage object detection architectures to verify the efficacy of our approach.
ST-GRAT: A Novel Spatio-temporal Graph Attention Network for Accurately Forecasting Dynamically Changing Road Speed
Predicting road traffic speed is a challenging task due to different types of roads, abrupt speed change and spatial dependencies between roads; it requires the modeling of dynamically changing spatial dependencies among roads and temporal patterns over long input sequences.
