Search Results for author:
Found 11 papers, 2 papers with code
MaskSAM: Towards Auto-prompt SAM with Mask Classification for Medical Image Segmentation
Each pair of auxiliary mask and box prompts, which can solve the requirements of extra prompts, is associated with class label predictions by the sum of the auxiliary classifier token and the learnable global classifier tokens in the mask decoder of SAM to solve the predictions of semantic labels.
SED: A Simple Encoder-Decoder for Open-Vocabulary Semantic Segmentation
In this paper, we propose a simple encoder-decoder, named SED, for open-vocabulary semantic segmentation, which comprises a hierarchical encoder-based cost map generation and a gradual fusion decoder with category early rejection.
A Survey of Robustness and Safety of 2D and 3D Deep Learning Models Against Adversarial Attacks
Lots of papers have emerged to investigate the robustness and safety of deep learning models against adversarial attacks.
MVMR-FS : Non-parametric feature selection algorithm based on Maximum inter-class Variation and Minimum Redundancy
How to accurately measure the relevance and redundancy of features is an age-old challenge in the field of feature selection.
Post-training Quantization on Diffusion Models
These approaches define a forward diffusion process for transforming data into noise and a backward denoising process for sampling data from noise.
MLP-GAN for Brain Vessel Image Segmentation
Brain vessel image segmentation can be used as a promising biomarker for better prevention and treatment of different diseases.
Deep Filtering with DNN, CNN and RNN
The idea is to train a neural network with Monte Carlo samples generated from a nominal dynamic model.
The Parameter Sensitivities of a Jump-diffusion Process in Basic Credit Risk Analysis
We detect the parameter sensitivities of bond pricing which is driven by a Brownian motion and a compound Poisson process as the discontinuous case in credit risk research.
Pricing S&P 500 Index Options with Lévy Jumps
We analyze various jumps for Heston model, non-IID model and three L\'evy jump models for S&P 500 index options.
Ergodicity of stochastic Cahn-Hilliard equations with logarithmic potentials driven by degenerate or nondegenerate noises
Both the space-time colored noise and the space-time white noise are considered.
Analysis of PDEs Numerical Analysis Numerical Analysis Probability
High-fidelity simulation of regular waves based on multi-moment finite volume formulation and THINC method
The performance of interFoam (a widely used solver within OpenFOAM package) in simulating the propagation of water waves has been reported to be sensitive to the temporal and spatial resolution.
Fluid Dynamics Computational Physics
