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Found 3 papers, 3 papers with code
ObjectCompose: Evaluating Resilience of Vision-Based Models on Object-to-Background Compositional Changes
We produce various versions of standard vision datasets (ImageNet, COCO), incorporating either diverse and realistic backgrounds into the images or introducing color, texture, and adversarial changes in the background.
Domain Adaptable Fine-Tune Distillation Framework For Advancing Farm Surveillance
The Fine-Tune Distillation framework aims to be adaptable to specific use cases, enabling the transfer of knowledge from the large models to the small models, making it suitable for domain-specific applications.
On enhancing the robustness of Vision Transformers: Defensive Diffusion
Privacy and confidentiality of medical data are of utmost importance in healthcare settings.
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