Published at NeurIPS 2024 (Conference on Neural Information Processing Systems). Access: Available through the NeurIPS Proceedings . 3. Note on ".rar" Files
This research focuses on Weakly Supervised Learning (WSL) , where the goal is to perform complex tasks like pixel-level segmentation using only simple bounding box labels rather than expensive pixel-by-pixel annotations. BBAM.rar
Sometimes specialized datasets related to the papers above are shared this way. Published at NeurIPS 2024 (Conference on Neural Information
It uses a trained object detector to find the "smallest area" of an image that makes the detector produce the same result, effectively creating a map that identifies the object within the box. Note on "
This paper deals with Semi-supervised Multi-label Learning (SSMLL) , which tries to train models when only a portion of the data has multiple labels.
A more recent 2024 paper titled introduces a different "BBAM".