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Crypto Machine Learning Algorithms Explained for Beginners

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
GitHub

Ha-seunga/CutLER_2025-1_-

We propose MaskCut approach to generate pseudo-masks for multiple objects in an image. CutLER can learn unsupervised object detectors and instance segmentors solely on ImageNet-1K. CutLER exhibits ...
IEEE

Shift-Driven Learning for Unsupervised Domain Adaptation

Self-training is widely used in unsupervised domain adaptation (UDA) by assigning pseudo labels to unlabeled samples. However, existing self-training strategies bring bias, while potentially ...
IEEE

A Contrastive-Learning Framework for Unsupervised Salient Object Detection

Abstract: Existing unsupervised salient object detection (USOD) methods usually rely on low-level saliency priors, such as center and background priors, to detect salient objects, resulting in ...