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: Because calculating flow is significantly faster than running a full deep CNN, this method achieves substantial speedups while maintaining high recognition accuracy.

: Combine these patterns into more complex shapes (e.g., circles, corners). Download IMG 1241 MOV

: Represent semantic concepts, such as a "car" or a "person," which are then used for the final recognition task. Multi-feature Fusion Network on Gray Scale Ultrasonography : Because calculating flow is significantly faster than

: It is widely used in real-time object detection and video semantic segmentation. You can explore the official implementation and demo videos on the Deep Feature Flow GitHub repository . The "IMG_1241.MOV" Context corners). : Represent semantic concepts