… ISIC 2017 challenge dataset for the segmentation task. The classification network is
simultaneously trained by using the encoder weights of the segmentation network. The experimental …

… Works such as [20], [4], [19] are similar in spirit to our simultaneous segmentation, tracking …
[19], who also perform simultaneous segmentation, tracking and 3D reconstruction of multiple …

… supervision on semantic segmentation and pedestrian detection… layers are shaped by the
segmentation supervision. In doing so, … Overall, our simultaneous detection and segmentation …

… To facilitate the complementary feature flow between the two 3D-UNets to achieve PET/CT
tumor co segmentation, we propose a feature-level fusion scheme, which takes advantage of …

… segmentation and benign-malignant classification. By coupling the strong supervision in the
form of segmentation … efficiently segments tumor regions while simultaneously predicting a …

… fusion strategy (VoteNet) which locally selects a set of reliable atlases whose labels are
then fused … of other label fusion strategies as well as a direct DL segmentation approach. We …

… segmentation architecture called BiFTransNet, which introduces a BiFusion module into the
decoder stage, enabling effective global and local feature fusion by … locally fused contextual …

… Note to Practitioners —This article investigates the problem of semantic segmentation of …
via information fusion with RGB and thermal data. We build an end-to-end deep neural network, …

… -D SLAM framework that simultaneously performs tracking and … adopts deep learning based
semantic instant segmentation … Surface Fusion We use the TSDF function to update each sub…

… To take advantage of both modalities, we present a two-stream chained segmentation …
and late 3D deep-network-based fusion. Furthermore, to effect the fusion and segmentation we …