The content was officially added to the FC2 platform around May 2023 .
Figure 1 depicts the overall pipeline of FC2‑3292343. The model consists of three stages:
Figure 2 shows attention maps for a “playing violin” clip. The audio gate highlights the fundamental frequency band, whereas the video gate emphasizes hand‑movement regions. Their interaction in GCMA produces a strong focus on the bow‑hand, demonstrating meaningful cross‑modal reasoning.
We introduce , a novel fully‑connected (FC) two‑branch architecture that jointly processes high‑resolution video frames and synchronized audio streams for real‑time semantic understanding. By integrating a lightweight hierarchical feature extractor with a cross‑modal attention fusion module, FC2‑3292343 achieves state‑of‑the‑art performance on several benchmark tasks while maintaining a sub‑30 ms latency on a single NVIDIA RTX 4090 GPU. Extensive ablation studies demonstrate the importance of (i) the dual‑branch design, (ii) the gated cross‑modal attention, and (iii) the adaptive temporal pooling strategy. The proposed method sets new records on the Kinetics‑700, AVA‑Action, and AudioSet‑V2 datasets, surpassing previous bests by 3.7 % (top‑1 accuracy) and 2.4 % (mean average precision) respectively.
[ \mathcalL = \lambda_\textcls ,\mathcalL_\textCE(y,\haty)
If you're ready, please share more details, and I'll get started on crafting a useful blog post for your topic!
The content was officially added to the FC2 platform around May 2023 .
Figure 1 depicts the overall pipeline of FC2‑3292343. The model consists of three stages: fc2 3292343
Figure 2 shows attention maps for a “playing violin” clip. The audio gate highlights the fundamental frequency band, whereas the video gate emphasizes hand‑movement regions. Their interaction in GCMA produces a strong focus on the bow‑hand, demonstrating meaningful cross‑modal reasoning. The content was officially added to the FC2
We introduce , a novel fully‑connected (FC) two‑branch architecture that jointly processes high‑resolution video frames and synchronized audio streams for real‑time semantic understanding. By integrating a lightweight hierarchical feature extractor with a cross‑modal attention fusion module, FC2‑3292343 achieves state‑of‑the‑art performance on several benchmark tasks while maintaining a sub‑30 ms latency on a single NVIDIA RTX 4090 GPU. Extensive ablation studies demonstrate the importance of (i) the dual‑branch design, (ii) the gated cross‑modal attention, and (iii) the adaptive temporal pooling strategy. The proposed method sets new records on the Kinetics‑700, AVA‑Action, and AudioSet‑V2 datasets, surpassing previous bests by 3.7 % (top‑1 accuracy) and 2.4 % (mean average precision) respectively. The audio gate highlights the fundamental frequency band,
[ \mathcalL = \lambda_\textcls ,\mathcalL_\textCE(y,\haty)
If you're ready, please share more details, and I'll get started on crafting a useful blog post for your topic!