We find that the models trained on a combination of COCO and LVIS with diverse and high-quality annotations show performance superior to all existing models.
Ranked #2 on Interactive Segmentation on SBD
Based on this finding, we propose LayerMatch scheme for approximating the representation of a GAN generator that can be used for unsupervised domain-specific pretraining.
Image harmonization is an important step in photo editing to achieve visual consistency in composite images by adjusting the appearances of foreground to make it compatible with background.
Deep learning-based detectors usually produce a redundant set of object bounding boxes including many duplicate detections of the same object.
Ranked #1 on Object Detection on WiderPerson
We propose f-BRS (feature backpropagating refinement scheme) that solves an optimization problem with respect to auxiliary variables instead of the network inputs, and requires running forward and backward pass just for a small part of a network.
Ranked #3 on Interactive Segmentation on SBD
We present a novel dataset for training and benchmarking semantic SLAM methods.
Given an input image and a point $(x, y)$, it generates a mask for the object located at $(x, y)$.
Ranked #5 on Panoptic Segmentation on Mapillary val