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Found 12 papers, 10 papers with code
HyperCLOVA X Technical Report
We introduce HyperCLOVA X, a family of large language models (LLMs) tailored to the Korean language and culture, along with competitive capabilities in English, math, and coding.
LLM-CXR: Instruction-Finetuned LLM for CXR Image Understanding and Generation
Many recent works have focused on training adapter networks that serve as an information bridge between image processing networks and LLMs; but presumably, in order to achieve maximum reasoning potential of LLMs on visual information as well, visual and language features should be allowed to interact more freely.
Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion Models
Diffusion models have become a popular approach for image generation and reconstruction due to their numerous advantages.
Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems
In this study, we propose a novel and efficient diffusion sampling strategy that synergistically combines the diffusion sampling and Krylov subspace methods.
Don't Play Favorites: Minority Guidance for Diffusion Models
However, the conventional generation process of the diffusion models mostly yields majority samples (that lie on high-density regions of the manifold) due to their high likelihoods, making themselves ineffective and time-consuming for the minority generating task.
SHUNIT: Style Harmonization for Unpaired Image-to-Image Translation
Our SHUNIT generates a new style by harmonizing the target domain style retrieved from a class memory and an original source image style.
Revisiting Self-Similarity: Structural Embedding for Image Retrieval
Despite advances in global image representation, existing image retrieval approaches rarely consider geometric structure during the global retrieval stage.
Domain Adaptive Video Semantic Segmentation via Cross-Domain Moving Object Mixing
Since the ground truth label on the target domain is unavailable during training, the bias problem leads to skewed predictions, forgetting to predict hard-to-transfer classes.
Correlation Verification for Image Retrieval
Geometric verification is considered a de facto solution for the re-ranking task in image retrieval.
WildNet: Learning Domain Generalized Semantic Segmentation from the Wild
To this end, we diversify styles by augmenting source features to resemble wild styles and enable networks to adapt to a variety of styles.
Hierarchical Memory Matching Network for Video Object Segmentation
Based on a recent memory-based method [33], we propose two advanced memory read modules that enable us to perform memory reading in multiple scales while exploiting temporal smoothness.
Unsupervised Domain Adaptation for Semantic Segmentation by Content Transfer
The main problem of UDA for semantic segmentation relies on reducing the domain gap between the real image and synthetic image.
