Robust 3D object detection is critical for safe autonomous driving. Came...
Recognizing an image and segmenting it into coherent regions are often
t...
The popular object detection metric 3D Average Precision (3D AP) relies ...
Unsupervised semantic segmentation aims to discover groupings within and...
Weakly supervised segmentation requires assigning a label to every pixel...
Almost all existing deep learning approaches for semantic segmentation t...
We present a single-shot, bottom-up approach for whole image parsing. Wh...
The per-pixel cross-entropy loss (CEL) has been widely used in structure...
Computer vision has advanced significantly that many discriminative
appr...
Existing semantic segmentation methods mostly rely on per-pixel supervis...
We address the problem of contour detection via per-pixel classification...
We address the problem of contour detection via per-pixel classification...