Search Results for author:
Found 5 papers, 1 papers with code
Out of Sight, Still in Mind: Reasoning and Planning about Unobserved Objects with Video Tracking Enabled Memory Models
Robots need to have a memory of previously observed, but currently occluded objects to work reliably in realistic environments.
Rethinking Multimodal Content Moderation from an Asymmetric Angle with Mixed-modality
There is a rapidly growing need for multimodal content moderation (CM) as more and more content on social media is multimodal in nature.
Maximal Cliques on Multi-Frame Proposal Graph for Unsupervised Video Object Segmentation
On the related problem of video instance segmentation, our method shows competitive performance with the previous best algorithm that requires joint training with the VOS algorithm.
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation
It captures object motion in the video via a novel optical flow calibration module that fuses the segmentation mask with optical flow estimation to improve within-object optical flow smoothness and reduce noise at object boundaries.
Ranked #1 on
Video Object Segmentation
on DAVIS 2017 (test-dev)
(using extra training data)
Deep Variational Instance Segmentation
Specifically, we propose a variational relaxation of instance segmentation as minimizing an optimization functional for a piecewise-constant segmentation problem, which can be used to train an FCN end-to-end.
