Weakly supervised learning has attracted growing research attention due to the significant
saving in annotation cost for tasks that require intra-image annotations, such as object …

Weakly supervised object detection (WSOD) has attracted extensive research attention due
to its great flexibility of exploiting large-scale image-level annotation for detector training …

Industrial visual detection is an essential part in modern industry for equipment maintenance
and inspection. With the recent progress of deep learning, advanced industrial object …

Weakly supervised object detection has attracted increasing research attention recently. To
this end, most existing schemes rely on scoring category-independent region proposals …

Weakly supervised instance segmentation (WSIS) with only image-level labels has recently
drawn much attention. To date, bottom-up WSIS methods refine discriminative cues from …

Weakly supervised object detection (WSOD) has attracted more and more attention since it
only uses image-level labels and can save huge annotation costs. Most of the WSOD …

It has been demonstrated that the performance of an object detector degrades when it is
used outside the domain of the data used to train it. However, obtaining training data for a …