1 citations · 1 across the 4 of their papers we have counts for
4 papers
FAF-CD: Frequency-Aware Fusion for Change Detection under Imperfect Multimodal Remote Sensing
Yufan Wang, Sokratis Makrogiannis, Chandra Kambhamettu
Remote sensing change detection for real-world monitoring often relies on imperfect heterogeneous observations, where pre- and post-event images may be asynchronous, cross-sensor,…
BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors
Tyler Rust, Dara McNally, Kyle O'Donnell +2
Building upon the SAM2 vision foundation model for downstream segmentation, this study introduces Boundary Enhanced Depth (BED)-SAM2. The SAM2 Hiera encoder architecture is modifie…
SODAWideNet++: Combining Attention and Convolutions for Salient Object Detection
Rohit Venkata Sai Dulam, Chandra Kambhamettu
Salient Object Detection (SOD) has traditionally relied on feature refinement modules that utilize the features of an ImageNet pre-trained backbone. However, this approach limits t…
SODAWideNet -- Salient Object Detection with an Attention augmented Wide Encoder Decoder network without ImageNet pre-training
Rohit Venkata Sai Dulam, Chandra Kambhamettu
Developing a new Salient Object Detection (SOD) model involves selecting an ImageNet pre-trained backbone and creating novel feature refinement modules to use backbone features. Ho…