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Found 5 papers, 4 papers with code
360FusionNeRF: Panoramic Neural Radiance Fields with Joint Guidance
Additionally, we introduce a semantic consistency loss that encourages realistic renderings of novel views.
CrackSeg9k: A Collection and Benchmark for Crack Segmentation Datasets and Frameworks
We also present a pipeline that combines Image Processing and Deep Learning models.
Balancing Discriminability and Transferability for Source-Free Domain Adaptation
Conventional domain adaptation (DA) techniques aim to improve domain transferability by learning domain-invariant representations; while concurrently preserving the task-discriminability knowledge gathered from the labeled source data.
RAIFLE: Reconstruction Attacks on Interaction-based Federated Learning with Active Data Manipulation
Federated learning (FL) has recently emerged as a privacy-preserving approach for machine learning in domains that rely on user interactions, particularly recommender systems (RS) and online learning to rank (OLTR).
CataractBot: An LLM-Powered Expert-in-the-Loop Chatbot for Cataract Patients
The healthcare landscape is evolving, with patients seeking more reliable information about their health conditions, treatment options, and potential risks.
