… 3 and 4, it can be visually verified that the four classes, ie, roads (cyan), … is aided by fuzzy
c-means (FCM) clustering. The FCM helps in forming the training set for the SVM to learn. …

… visually analyze the trained … active learning is applied to the object detection task of
nasopharyngeal carcinoma MRI images, and good results are obtained under small labeled training …

… that our OIC, aided with our SOS pre-training, complements … to supervise the learning of
active object detection. Li et al. [… pre-training [17] in the domain of egocentric visual perception, …

… -2 computer-aided diagnosis (CAD) system. The automatic … The IIF HEp-2 protocol involves
several visual analysis steps at … the recent deep learning object detectors in various imaging …

… visually impaired (VI) people in finding daily used objects. Object detection and recognition
in a … Automatic object detection and identification for VI people requires a flexible, adaptable, …

… on construction object detection, … visually distinct instances (eg, left-hand side, front-view,
rear side). One recent study also reported that an active learning scheme is effective in training …

… The second contribution is our proposed object detection method. It is an ensemble … To
visually compare proposed ensemble model to individual models, we chose version #3, …

… In term of deploying the aided-system for the VIPs, … A good survey in [7] presents vision-based
techniques in object recognition assisting VIPs . The most closed our works are visual-…

… people with visual impairment; namely, mobility, object detection and recognition and navigation.
… CNN [50] can be defined as a kind of deep learning neural network that has aided the …

… To apply our active learning framework effectively to object detection, we establish category
… 3 and 4 visually depict the essential aspects of the raw image and point cloud data, …