Co-saliency detection via a self-paced multiple-instance learning framework
As an interesting and emerging topic, co-saliency detection aims at simultaneously
extracting common salient objects from a group of images. On one hand, traditional co …
extracting common salient objects from a group of images. On one hand, traditional co …
Saliency detection for unconstrained videos using superpixel-level graph and spatiotemporal propagation
This paper proposes an effective spatiotemporal saliency model for unconstrained videos
with complicated motion and complex scenes. First, superpixel-level motion and color …
with complicated motion and complex scenes. First, superpixel-level motion and color …
Video summarization with spatiotemporal vision transformer
TC Hsu, YS Liao, CR Huang - IEEE Transactions on Image …, 2023 - ieeexplore.ieee.org
Video summarization aims to generate a compact summary of the original video for efficient
video browsing. To provide video summaries which are consistent with the human …
video browsing. To provide video summaries which are consistent with the human …
Video saliency detection using object proposals
In this paper, we introduce a novel approach to identify salient object regions in videos via
object proposals. The core idea is to solve the saliency detection problem by ranking and …
object proposals. The core idea is to solve the saliency detection problem by ranking and …
Accurate and robust video saliency detection via self-paced diffusion
Conventional video saliency detection methods frequently follow the common bottom-up
thread to estimate video saliency within the short-term fashion. As a result, such methods …
thread to estimate video saliency within the short-term fashion. As a result, such methods …
Improving video saliency detection via localized estimation and spatiotemporal refinement
Video saliency detection aims to pop out the most salient regions in every frame of a video.
Up to now, many efforts have been made from various aspects for video saliency detection …
Up to now, many efforts have been made from various aspects for video saliency detection …
STI-Net: Spatiotemporal integration network for video saliency detection
Image saliency detection, to which much effort has been devoted in recent years, has
advanced significantly. In contrast, the community has paid little attention to video saliency …
advanced significantly. In contrast, the community has paid little attention to video saliency …
Unsupervised CNN-based co-saliency detection with graphical optimization
In this paper, we address co-saliency detection in a set of images jointly covering objects of
a specific class by an unsupervised convolutional neural network (CNN). Our method does …
a specific class by an unsupervised convolutional neural network (CNN). Our method does …
Ramp loss based robust one-class SVM
Y Xiao, H Wang, W Xu - Pattern Recognition Letters, 2017 - Elsevier
One-class SVM (OCSVM) is widely adopted in one-class classification (OCC) fields.
However, outliers in the training set negatively influence the classification surface of …
However, outliers in the training set negatively influence the classification surface of …
CNN-based temporal detection of motion saliency in videos
L Maczyta, P Bouthemy, O Le Meur - Pattern Recognition Letters, 2019 - Elsevier
The problem addressed in this paper appertains to the domain of motion saliency in videos.
However this is a new problem since we aim to extract the temporal segments of the video …
However this is a new problem since we aim to extract the temporal segments of the video …