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Found 6 papers, 6 papers with code
Follow-Your-Click: Open-domain Regional Image Animation via Short Prompts
Despite recent advances in image-to-video generation, better controllability and local animation are less explored.
Transformed Low-Rank Parameterization Can Help Robust Generalization for Tensor Neural Networks
Our analysis indicates that the transformed low-rank parameterization can promisingly enhance robust generalization for t-NNs.
Exploring Concept Contribution Spatially: Hidden Layer Interpretation with Spatial Activation Concept Vector
To tackle this problem, based on TCAV, we propose Spatial Activation Concept Vector (SACV) which identifies the relevant spatial locations to the query concept while evaluating their contributions to the model prediction of the target class.
HINT: Hierarchical Neuron Concept Explainer
To this end, we propose HIerarchical Neuron concepT explainer (HINT) to effectively build bidirectional associations between neurons and hierarchical concepts in a low-cost and scalable manner.
NaviAirway: a Bronchiole-sensitive Deep Learning-based Airway Segmentation Pipeline
Airway segmentation is essential for chest CT image analysis.
Semantic-Sparse Colorization Network for Deep Exemplar-based Colorization
To address these two problems, we propose Semantic-Sparse Colorization Network (SSCN) to transfer both the global image style and detailed semantic-related colors to the gray-scale image in a coarse-to-fine manner.
