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Found 6 papers, 2 papers with code
Box It to Bind It: Unified Layout Control and Attribute Binding in T2I Diffusion Models
To address these deficiencies, we introduce the Box-it-to-Bind-it (B2B) module - a novel, training-free approach for improving spatial control and semantic accuracy in text-to-image (T2I) diffusion models.
Towards Adaptive Subspace Detection in Heterogeneous Environment
In this paper, we aim to take one step forward to the scenario where an adaptive subspace detection framework is required to detect subspace signals in non-stationary environments.
Transformers in Small Object Detection: A Benchmark and Survey of State-of-the-Art
Transformers have rapidly gained popularity in computer vision, especially in the field of object recognition and detection.
Analysis and Evaluation of Explainable Artificial Intelligence on Suicide Risk Assessment
This study investigates the effectiveness of Explainable Artificial Intelligence (XAI) techniques in predicting suicide risks and identifying the dominant causes for such behaviours.
IT-RUDA: Information Theory Assisted Robust Unsupervised Domain Adaptation
Distribution shift between train (source) and test (target) datasets is a common problem encountered in machine learning applications.
A Guide to Image and Video based Small Object Detection using Deep Learning : Case Study of Maritime Surveillance
Small object detection (SOD) in optical images and videos is a challenging problem that even state-of-the-art generic object detection methods fail to accurately localize and identify such objects.
