Instance-Aware, Context-Focused, and Memory-Efficient Weakly Supervised Object Detection
Instance-Aware, Context-Focused, and Memory-Efficient Weakly Supervised Object Detection
Weakly supervised learning has emerged as a compelling tool for object detection by reducing the need for strong supervision during training. However, major challenges remain: (1) differentiation of object instances can be ambiguous; (2) detectors tend to focus on discriminative parts rather than entire objects; (3) without ground truth, object …