Visual anomaly classification and segmentation are vital for automating
...
Visual anomaly detection is commonly used in industrial quality inspecti...
Touchless computer interaction has become an important consideration dur...
Weakly Supervised Object Detection (WSOD) has emerged as an effective to...
While being deployed in many critical applications as core components,
m...
Although a significant progress has been witnessed in supervised person
...
This paper targets the task with discrete and periodic class labels (e.g...
Monocular Depth Estimation is usually treated as a supervised and regres...
Recent advances in domain adaptation show that deep self-training presen...
Unsupervised domain adaptation (UDA) aims at inferring class labels for
...
Recent deep networks achieved state of the art performance on a variety ...
Edge detection is among the most fundamental vision problems for its rol...
Many state-of-the-art general object detection methods make use of share...
Optimal transport distances, otherwise known as Wasserstein distances, h...