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Learn and Search: An Elegant Technique for Object Lookup using Contrastive Learning
The rapid proliferation of digital content and the ever-growing need for precise object recognition and segmentation have driven the advancement of cutting-edge techniques in the field of object classification and segmentation.
Unsupervised learning based object detection using Contrastive Learning
Training image-based object detectors presents formidable challenges, as it entails not only the complexities of object detection but also the added intricacies of precisely localizing objects within potentially diverse and noisy environments.
Pattern Based Multivariable Regression using Deep Learning (PBMR-DP)
We propose a deep learning methodology for multivariate regression that is based on pattern recognition that triggers fast learning over sensor data.
CLAWS: Contrastive Learning with hard Attention and Weak Supervision
Learning effective visual representations without human supervision is a long-standing problem in computer vision.
Cluster Analysis with Deep Embeddings and Contrastive Learning
Unsupervised disentangled representation learning is a long-standing problem in computer vision.
