Search Results for author:
Found 7 papers, 3 papers with code
Linguistic Query-Guided Mask Generation for Referring Image Segmentation
Referring image segmentation aims to segment the image region of interest according to the given language expression, which is a typical multi-modal task.
GB-CosFace: Rethinking Softmax-based Face Recognition from the Perspective of Open Set Classification
Our GB-CosFace introduces an adaptive global boundary to determine whether two face samples belong to the same identity so that the optimization objective is aligned with the testing process from the perspective of open set classification.
FloorPlanCAD: A Large-Scale CAD Drawing Dataset for Panoptic Symbol Spotting
The proposed CNN-GCN method achieved state-of-the-art (SOTA) performance on the task of semantic symbol spotting, and help us build a baseline network for the panoptic symbol spotting task.
CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution
Modern deep-learning-based lane detection methods are successful in most scenarios but struggling for lane lines with complex topologies.
Ranked #8 on
Lane Detection
on CurveLanes
(using extra training data)
Learning Selfie-Friendly Abstraction from Artistic Style Images
Artistic style transfer can be thought as a process to generate different versions of abstraction of the original image.
Robust Tracking Using Region Proposal Networks
Recent advances in visual tracking showed that deep Convolutional Neural Networks (CNN) trained for image classification can be strong feature extractors for discriminative trackers.
Accurate Single Stage Detector Using Recurrent Rolling Convolution
In this paper, we proposed a novel single stage end-to-end trainable object detection network to overcome this limitation.
