Bbam.rar 🔖 🔥

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.

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

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)

It proposes the Balanced Binary Angular Margin (BBAM) loss. This loss function helps balance the "variance bias" between positive and negative samples by looking at the angle of features in a multi-label setup. Access: Available through the NeurIPS Proceedings

Researchers often package their implementation (PyTorch or TensorFlow code) and pre-trained models in archives for distribution on platforms like GitHub or ResearchGate.

Sometimes specialized datasets related to the papers above are shared this way.