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.

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.

Published at NeurIPS 2024 (Conference on Neural Information Processing Systems). Access: Available through the NeurIPS Proceedings . 3. Note on ".rar" Files

Published at CVPR 2021 (Conference on Computer Vision and Pattern Recognition).

If you are specifically looking for a file named , it is likely a compressed archive containing:

The most prominent paper using this acronym is .

You can find the full PDF and supplementary materials on arXiv or through the CVF Open Access portal. 2. S²ML²-BBAM: Balanced Binary Angular Margin