2024年6月9日 · As a result, SAM encounters limitations and falls short when applied to the VCOD task. To overcome these challenges, we propose a new method called the SAM Propagation Module (SAM-PM). Our propagation module enforces temporal consistency within SAM by employing spatio-temporal cross-attention mechanisms.

TSP-SAM生成的初始 Mask 被用作 Prompt ，用于引导SAM2进行细节优化。 TSP-SAM模型根据前几帧分割每一帧，逐步提高分割效果。 因此，作者假设视频的最后帧包含最精细的分割结果，因此它是SAM2进行进一步优化的最佳候选者，因此作者 Prompt 视频序列的最后帧的 Mask ...

📜 [CVPRw] SAM-PM: Enhancing Video Camouflaged Object Detection using Spatio-Temporal Attention, Muhammad Nawfal Meeran, Gokul Adethya T, Bhanu Pratyush Mantha - SpiderNitt/SAM-PM

In this study, we introduce the SAM-Propagation Mod-ule (SAM-PM), a novel approach to tackle VCOD. SAM-PM incorporates a Temporal Fusion Mask Module (TFMM) and a Memory Prior Afinity Module (MPAM) into the Propagation Module (PM) to ensure the temporal consis-tency of masks through SAM.

To overcome these challenges we propose a new method called the SAM Propagation Module (SAM-PM). Our propagation module enforces temporal consistency within SAM by employing spatio-temporal cross-attention mechanisms.

SAM-PM:Enhancing Video Camouflaged Object Detection using Spatio-Temporal Attention. 内容：论文介绍了一种名为SAM-PM的方法，该方法通过利用时空注意力机制来增强视频伪装目标检测的性能。这种方法通过分析视频中的目标运动和空间特征，提高了对伪装目标的识别和分割能力。

2024年6月9日 · As a result, SAM encounters limitations and falls short when applied to the VCOD task. To overcome these challenges, we propose a new method called the SAM Propagation Module (SAM-PM). Our propagation module enforces temporal consistency within SAM by employing spatio-temporal cross-attention mechanisms.

In this study, we introduce the SAM-Propagation Module (SAM-PM), a novel approach to tackle VCOD. SAM-PM incorporates a Temporal Fusion Mask Module (TFMM) and a Memory Prior Affinity Module (MPAM) into the Propagation Module (PM) to ensure the temporal consistency of masks through SAM.

2024年6月9日 · To overcome these challenges, we propose a new method called the SAM Propagation Module (SAM-PM). Our propagation module enforces temporal consistency within SAM by employing...

2024年7月5日 · In the domain of large foundation models, the Segment Anything Model (SAM) has gained notable recognition for its exceptional performance in image segmentation. However, tackling the video camouflage object detection (…