The recent advancement in Video Instance Segmentation (VIS) has largely been driven by the use of deeper and increasingly data-hungry transformer-based models. However, video masks are tedious and expensive to annotate, limiting the scale and diversity of existing VIS datasets. In this work, we ...
Mask-Free Video Instance Segmentation Lei Ke, Martin Danelljan, Henghui Ding, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu CVPR 2023 Highlights High-performingvideo instance segmentationwithout using any video masks or even image masklabels. Using SwinL and built on Mask2Former, MaskFreeVIS achieved ...
Our core idea is to learn a global segmentation mask of each action instance jointly at the full video length. The TAGS model differs significantly from the conventional proposal-based methods by focusing on global temporal representation learning to directly detect local start and end points of ...
Wireless communications systems are widely deployed to provide various types of communication content such as voice, video, packet data, messaging, broadcast, and so on. These systems may be capable of supporting communication with multiple users by sharing the available system resources (e.g., time...
Mask-Free Video Instance Segmentation Lei Ke, Martin Danelljan, Henghui Ding, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu CVPR 2023HighlightsHigh-performing video instance segmentation without using any video masks or even image mask labels. Using SwinL and built on Mask2Former, MaskFreeVIS ...