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Found 4 papers, 4 papers with code
MIRe: Enhancing Multimodal Queries Representation via Fusion-Free Modality Interaction for Multimodal Retrieval
Recent multimodal retrieval methods have endowed text-based retrievers with multimodal capabilities by utilizing pre-training strategies for visual-text alignment.
Explaining generative diffusion models via visual analysis for interpretable decision-making process
To address this issue, we propose the three research questions to interpret the diffusion process from the perspective of the visual concepts generated by the model and the region where the model attends in each time step.
NeuroInspect: Interpretable Neuron-based Debugging Framework through Class-conditional Visualizations
We validate the effectiveness of our framework by addressing false correlations and improving inferences for classes with the worst performance in real-world settings.
Complete Face Recovery GAN: Unsupervised Joint Face Rotation and De-Occlusion From a Single-View Image
In addition, the lack of high-quality paired data remains an obstacle for both methods.
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