(1) LLMs-driven social bots possess enhanced individual-level camouflage while exhibiting certain collective characteristics; (2) these bots have the ability to exert influence on online communities through toxic behaviors; (3) existing detection methods are applicable to the activity environment of ...
and are typically more effective than thermal cameras when the thermal properties of the objects in the scene are similar to the surrounding environment (provided that the scene is well illuminated and the objects have color signatures different from the background). Integrating...
The motivation of this loss term is that, according to our MMIF assumption, the decomposed features {ΦBI , ΦBV } will contain more modality-shared information, such as back- ground and large-scale environment, so they are often highly correl...
Open Access Policy Institutional Open Access Program Special Issues Guidelines Editorial Process Research and Publication Ethics Article Processing Charges Awards Testimonials Author Services Initiatives Sciforum MDPI Books Preprints.org Scilit SciProfiles Encyclopedia JAMS Proceedings Series ...
Figure 6. The modeling process of camouflage based on environment. Figure 7. The modeling process of running mode. Figure 8. The flowchart of the SBOA algorithm. Figure 9. Schematic diagram of the incremental PID control. Figure 10. The flowchart of the MISBOA algorithm. Figure 11. The rad...
Testing on this dataset proves that the algorithm is suitable for many TIR maritime scenarios. Figure 12. The illustration of test images. (a) the 25th frame of Seq1, (b) the 21st frame of Seq2, (c) the 450th frame of Seq3, (d) the 12nd frame of Seq4, (e) the 112nd frame ...
Figure 7. Color detection maps acquired by different HAD methods On the Pavia Center dataset for visual comparison. Figure 8. Color detection maps acquired by different HAD methods On the Texas Coast-1 dataset for visual comparison. Figure 9. Color detection maps acquired by different HAD meth...
This dataset categorizes the land into 11 different classes. Figure 2 displays the specific situation of the dataset. Figure 2. MUUFL. (a) Pseudo-color image of HSI. (b) Gra-image of the LiDAR-based DSM. (c) Ground-truth map. 3.1.2. Trento The Trento dataset features HSI and ...
A camouflaged object detection network based on deep learning is generally structured into two parts, namely, a module for locating or obtaining camouflage object features and a module for segmenting object detection. The two modules interact with each other to fuse features and obtain the final ...
4.1.2. Environment Configuration and Parameter Settings The experiments in this study were conducted on the Ubuntu 20.04, utilizing the PyTorch 1.11.0 deep learning framework. The experimental setup included the parallel computing platform and programming model developed by NVIDIA (Santa Clara, CA, USA...