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Found 5 papers, 1 papers with code
Few-Shot Image Classification and Segmentation as Visual Question Answering Using Vision-Language Models
By enabling a VLM to interact with off-the-shelf vision models as tools, the proposed method is capable of classifying and segmenting target objects using only image-level labels.
Few-Shot Classification & Segmentation Using Large Language Models Agent
The task of few-shot image classification and segmentation (FS-CS) requires the classification and segmentation of target objects in a query image, given only a few examples of the target classes.
MEMO: Dataset and Methods for Robust Multimodal Retinal Image Registration with Large or Small Vessel Density Differences
To fill this gap, we establish MEMO, the first public multimodal EMA and OCTA retinal image dataset.
Depth Evaluation for Metal Surface Defects by Eddy Current Testing using Deep Residual Convolutional Neural Networks
Eddy current testing (ECT) is an effective technique in the evaluation of the depth of metal surface defects.
Design Space Exploration of Neural Network Activation Function Circuits
In this paper, we explore efficient hardware implementations of activation functions using purely combinational circuits, with a focus on two widely used nonlinear activation functions, i. e., SELU and tanh.
