Negative Deterministic Information-Based Multiple Instance Learning for Weakly Supervised Object Detection and Segmentation

Negative Deterministic Information-Based Multiple Instance Learning for Weakly Supervised Object Detection and Segmentation

Information Science, Artificial Intelligence,
Negative Deterministic Information   Multiple Instance Learning   Weakly Supervised Object Detection   Weakly Supervised Semantic Segmentation   Contrastive Learning  

Negative Deterministic Information-Based Multiple Instance Learning for Weakly Supervised Object Detection and Segmentation Background Introduction In the past decade, significant progress has been made in the field of computer vision, particularly in object detection and semantic segmentation. However, most of the designed algorithms and models he...