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Found 4 papers, 1 papers with code
Leveraging point annotations in segmentation learning with boundary loss
Hence it is intuitively inappropriate for weak supervision, where the ground truth label may be much smaller than the actual object and a certain amount of false positives (w. r. t.
Queer In AI: A Case Study in Community-Led Participatory AI
We present Queer in AI as a case study for community-led participatory design in AI.
A Study of Augmentation Methods for Handwritten Stenography Recognition
One of the factors limiting the performance of handwritten text recognition (HTR) for stenography is the small amount of annotated training data.
Cross-Modality Sub-Image Retrieval using Contrastive Multimodal Image Representations
We propose a new application-independent content-based image retrieval (CBIR) system for reverse (sub-)image search across modalities, which combines deep learning to generate representations (embedding the different modalities in a common space) with classical feature extraction and bag-of-words models for efficient and reliable retrieval.
