Search Results for author:
Found 7 papers, 6 papers with code
Reviving Iterative Training with Mask Guidance for Interactive Segmentation
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 #5 on
Interactive Segmentation
on DAVIS
Learning High-Resolution Domain-Specific Representations with a GAN Generator
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.
Semi-Supervised Semantic Segmentation
Vocal Bursts Intensity Prediction
Foreground-aware Semantic Representations for Image Harmonization
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.
IterDet: Iterative Scheme for Object Detection in Crowded Environments
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
f-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation
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 #8 on
Interactive Segmentation
on SBD
DISCOMAN: Dataset of Indoor SCenes for Odometry, Mapping And Navigation
We present a novel dataset for training and benchmarking semantic SLAM methods.
AdaptIS: Adaptive Instance Selection Network
Given an input image and a point $(x, y)$, it generates a mask for the object located at $(x, y)$.
Ranked #8 on
Panoptic Segmentation
on Mapillary val
