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Backbones-review: Feature extractor networks for deep learning and deep reinforcement learning approaches in computer vision
To understand the real world using various types of data, Artificial Intelligence (AI) is the
most used technique nowadays. While finding the pattern within the analyzed data …
most used technique nowadays. While finding the pattern within the analyzed data …
Masked face recognition using deep learning: A review
A large number of intelligent models for masked face recognition (MFR) has been recently
presented and applied in various fields, such as masked face tracking for people safety or …
presented and applied in various fields, such as masked face tracking for people safety or …
Video k-net: A simple, strong, and unified baseline for video segmentation
This paper presents Video K-Net, a simple, strong, and unified framework for fully end-to-
end video panoptic segmentation. The method is built upon K-Net, a method that unifies …
end video panoptic segmentation. The method is built upon K-Net, a method that unifies …
Fully convolutional networks for panoptic segmentation
In this paper, we present a conceptually simple, strong, and efficient framework for panoptic
segmentation, called Panoptic FCN. Our approach aims to represent and predict foreground …
segmentation, called Panoptic FCN. Our approach aims to represent and predict foreground …
Panoptic-polarnet: Proposal-free lidar point cloud panoptic segmentation
Panoptic segmentation presents a new challenge in exploiting the merits of both detection
and segmentation, with the aim of unifying instance segmentation and semantic …
and segmentation, with the aim of unifying instance segmentation and semantic …
Vip-deeplab: Learning visual perception with depth-aware video panoptic segmentation
In this paper, we present ViP-DeepLab, a unified model attempting to tackle the long-
standing and challenging inverse projection problem in vision, which we model as restoring …
standing and challenging inverse projection problem in vision, which we model as restoring …
Solve the puzzle of instance segmentation in videos: A weakly supervised framework with spatio-temporal collaboration
Instance segmentation in videos, which aims to segment and track multiple objects in video
frames, has garnered a flurry of research attention in recent years. In this paper, we present …
frames, has garnered a flurry of research attention in recent years. In this paper, we present …
PCB defect detection based on deep learning algorithm
IC Chen, RC Hwang, HC Huang - Processes, 2023 - mdpi.com
Printed circuit boards (PCBs) are primarily used to connect electronic components to each
other. It is one of the most important stages in the manufacturing of electronic products. A …
other. It is one of the most important stages in the manufacturing of electronic products. A …
Step: Segmenting and tracking every pixel
The task of assigning semantic classes and track identities to every pixel in a video is called
video panoptic segmentation. Our work is the first that targets this task in a real-world setting …
video panoptic segmentation. Our work is the first that targets this task in a real-world setting …
Panoptic-partformer: Learning a unified model for panoptic part segmentation
Abstract Panoptic Part Segmentation (PPS) aims to unify panoptic segmentation and part
segmentation into one task. Previous work mainly utilizes separated approaches to handle …
segmentation into one task. Previous work mainly utilizes separated approaches to handle …