Real-time semantic segmentation is the task of achieving computationally efficient semantic segmentation (while maintaining a base level of accuracy).
( Image credit: TorchSeg )
|TREND||DATASET||BEST METHOD||PAPER TITLE||PAPER||CODE||COMPARE|
We show that SegNet provides good performance with competitive inference time and more efficient inference memory-wise as compared to other architectures.
Ranked #3 on Scene Segmentation on SUN-RGBD
Compared to YOLOv2 on the MS-COCO object detection, ESPNetv2 delivers 4. 4% higher accuracy with 6x fewer FLOPs.
Ranked #27 on Object Detection on PASCAL VOC 2007
Semantic segmentation requires both rich spatial information and sizeable receptive field.
Ranked #4 on Semantic Segmentation on CamVid
We focus on the challenging task of real-time semantic segmentation in this paper.
Ranked #9 on Real-Time Semantic Segmentation on CamVid
Pixel-level labelling tasks, such as semantic segmentation, play a central role in image understanding.
Ranked #18 on Real-Time Semantic Segmentation on Cityscapes test