Z Huang, H Chen, B Liu, Z Wang - Remote Sensing, 2021 - mdpi.com
Although remarkable progress has been made in salient object detection (SOD) in natural scene images (NSI), the SOD of optical remote sensing images (RSI) still faces significant …
The recently proposed camouflaged object detection (COD) attempts to segment objects that are visually blended into their surroundings, which is extremely complex and difficult in real …
Abstract Recently, Meta AI Research approaches a general, promptable segment anything model (SAM) pre-trained on an unprecedentedly large segmentation dataset (SA-1B) …
N Liu, N Zhang, K Wan, L Shao… - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
Existing state-of-the-art saliency detection methods heavily rely on CNN-based architectures. Alternatively, we rethink this task from a convolution-free sequence-to …
Spotting objects that are visually adapted to their surroundings is challenging for both humans and AI. Conventional generic/salient object detection techniques are suboptimal for …
Vision transformers have recently shown strong global context modeling capabilities in camouflaged object detection. However, they suffer from two major limitations: less effective …
G Li, Z Liu, M Chen, Z Bai, W Lin… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Existing RGB-D Salient Object Detection (SOD) methods take advantage of depth cues to improve the detection accuracy, while pay insufficient attention to the quality of depth …
Automatically detecting/segmenting object (s) that blend in with their surroundings is difficult for current models. A major challenge is that the intrinsic similarities between such …
Although current salient object detection (SOD) works have achieved significant progress, they are limited when it comes to the integrity of the predicted salient regions. We define the …