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A review on 2D instance segmentation based on deep neural networks
W Gu, S Bai, L Kong - Image and Vision Computing, 2022 - Elsevier
Image instance segmentation involves labeling pixels of images with classes and instances,
which is one of the pivotal technologies in many domains, such as natural scenes …
which is one of the pivotal technologies in many domains, such as natural scenes …
Advances in deep concealed scene understanding
Concealed scene understanding (CSU) is a hot computer vision topic aiming to perceive
objects exhibiting camouflage. The current boom in terms of techniques and applications …
objects exhibiting camouflage. The current boom in terms of techniques and applications …
Suppress and balance: A simple gated network for salient object detection
Most salient object detection approaches use U-Net or feature pyramid networks (FPN) as
their basic structures. These methods ignore two key problems when the encoder …
their basic structures. These methods ignore two key problems when the encoder …
EGNet: Edge guidance network for salient object detection
Fully convolutional neural networks (FCNs) have shown their advantages in the salient
object detection task. However, most existing FCNs-based methods still suffer from coarse …
object detection task. However, most existing FCNs-based methods still suffer from coarse …
Basnet: Boundary-aware salient object detection
Abstract Deep Convolutional Neural Networks have been adopted for salient object
detection and achieved the state-of-the-art performance. Most of the previous works …
detection and achieved the state-of-the-art performance. Most of the previous works …
Global context-aware progressive aggregation network for salient object detection
Deep convolutional neural networks have achieved competitive performance in salient
object detection, in which how to learn effective and comprehensive features plays a critical …
object detection, in which how to learn effective and comprehensive features plays a critical …
Salient object detection via integrity learning
Although current salient object detection (SOD) works have achieved significant progress,
they are limited when it comes to the integrity of the predicted salient regions. We define the …
they are limited when it comes to the integrity of the predicted salient regions. We define the …
Cascaded partial decoder for fast and accurate salient object detection
Existing state-of-the-art salient object detection networks rely on aggregating multi-level
features of pre-trained convolutional neural networks (CNNs). However, compared to high …
features of pre-trained convolutional neural networks (CNNs). However, compared to high …
A simple pooling-based design for real-time salient object detection
We solve the problem of salient object detection by investigating how to expand the role of
pooling in convolutional neural networks. Based on the U-shape architecture, we first build a …
pooling in convolutional neural networks. Based on the U-shape architecture, we first build a …
Salient object detection in the deep learning era: An in-depth survey
As an essential problem in computer vision, salient object detection (SOD) has attracted an
increasing amount of research attention over the years. Recent advances in SOD are …
increasing amount of research attention over the years. Recent advances in SOD are …