104 papers with code • 5 benchmarks • 7 datasets
Scene segmentation is the task of splitting a scene into its various object components.
Image adapted from Temporally coherent 4D reconstruction of complex dynamic scenes.
We show that SegNet provides good performance with competitive inference time and more efficient inference memory-wise as compared to other architectures.
For example, on the challenging S3DIS dataset for large-scale semantic scene segmentation, the Point Transformer attains an mIoU of 70. 4% on Area 5, outperforming the strongest prior model by 3. 3 absolute percentage points and crossing the 70% mIoU threshold for the first time.
Scene, as the crucial unit of storytelling in movies, contains complex activities of actors and their interactions in a physical environment.