Abstract: Remote sensing images exhibit multi-semantic char acteristics with abundant geographical and contextual information. Although multi-label learning methods demonstrate remark able advantages ...
Abstract: Multi-label image classification, which involves recognizing multiple objects within a single image, is a fundamental task in computer vision. Recently, Visual-Language Models (VLMs) have ...
This repository provides the pytorch code for the paper "LAP-GAN: Label augmentation with perceptual loss for self-supervised text-to-image synthesis" by Yong Xuan Tan, Jit Yan Lim, Kian Ming Lim, ...
Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise
TL;DR: We propose CUFIT, a robust fine-tuning method for vision foundation models under noisy label conditions, based on the advantages of linear probing and adapters. Download the training data, ...
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