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use hierarchical convolutional features to distinguish between actual structural cracks and irrelevant surface noise. 2. Video Transcoding and Compression

: Recent advancements involve using deep semantic segmentation and encoder-decoder architectures (like EfficientNet ) to identify and quantify surface cracks from image data. Segment Any Crack : Research has adapted models like the Segment Anything Model (SAM) Mv Transcoder Crack

: Using deep learning to intelligently decide which parts of a frame require more data (bitrate) based on detected objects or textures. Mv Transcoder Crack