Multiple Instance Detection Network with Online Instance Classifier Refinement

Understand

Of late, weakly supervised object detection is with great importance in object recognition.

• Based on deep learning, weakly supervised detectors have achieved many promising results.
• However, compared with fully supervised detection, it is more challenging to train deep network based detectors in a weakly supervised manner.
• Here we formulate weakly supervised detection as a Multiple Instance Learning (MIL) problem, where instance classifiers (object detectors) are put into the network as hidden nodes.