to investigate the impact of masking ratios and masking strategies for various data types and the robustness of the learned representations to missing data. Overall, CroSSL outperforms previous SSL and supervised benchmarks using minimal labeled data, and also sheds light on how latent masking can...
MS2GAH: Multi-label semantic supervised graph attention hashing for robust cross-modal retrieval. Pattern Recognit. 2022;128:108676.10.1016/j.patcog.2022.108676Search in Google Scholar [10] Sharma A, Ansari MD, Kumar R. A comparative study of edge detectors in digital image processing. 2017 4th...
Additionally, the handling of auxiliary remote sensing tasks separately can introduce challenges in ensuring seamless integration and alignment with the captioning process. To address these problems, we propose a novel cross-modal retrieval and semantic refinement (CRSR) RSIC method. Specifically, we ...
Additionally, the handling of auxiliary remote sensing tasks separately can introduce challenges in ensuring seamless integration and alignment with the captioning process. To address these problems, we propose a novel cross-modal retrieval and semantic refinement (CRSR) RSIC method. Specifically, we ...
,wnt, let us assume that the 𝑖i word in the sentence was a sentiment word; we replaced the word with a special word (MASK). Then, we used BERT and Bi-GRU to model the word embeddings and the visual, audio, and visual–audio features separately, resulting in ℎ𝑖={ℎ𝑖𝑙...