Self-supervised object detection from egocentric videos
Understanding the visual world from the perspective of humans (egocentric) has been a
long-standing challenge in computer vision. Egocentric videos exhibit high scene complexity …
long-standing challenge in computer vision. Egocentric videos exhibit high scene complexity …
Weakly Supervised Semantic Segmentation for Driving Scenes
State-of-the-art techniques in weakly-supervised semantic segmentation (WSSS) using
image-level labels exhibit severe performance degradation on driving scene datasets such …
image-level labels exhibit severe performance degradation on driving scene datasets such …
Privobfnet: A weakly supervised semantic segmentation model for data protection
CP Tay, V Subbaraju… - Proceedings of the IEEE …, 2024 - openaccess.thecvf.com
The use of social media has made it easy to communicate and share information over the
internet. However, it also brings issues such as data privacy leakage, which can be …
internet. However, it also brings issues such as data privacy leakage, which can be …
[PDF][PDF] UNet Based on Multi-Object Segmentation and Convolution Neural Network for Object Recognition.
NA Almujally, BR Chughtai, NA Mudawi… - … , Materials & Continua, 2024 - researchgate.net
The recent advancements in vision technology have had a significant impact on our ability to
identify multiple objects and understand complex scenes. Various technologies, such as …
identify multiple objects and understand complex scenes. Various technologies, such as …
3M: An Affinity Processing Method for Weakly Supervised Semantic Segmentation
S Wang, N Cang - 2023 5th International Academic Exchange …, 2023 - ieeexplore.ieee.org
In the face of the high cost of annotation brought by fully supervised semantic segmentation,
a way to simplify the annotation has been proposed—weakly supervised semantic …
a way to simplify the annotation has been proposed—weakly supervised semantic …