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Efficient semantic segmentation by altering resolutions for compressed videos
Video semantic segmentation (VSS) is a computationally expensive task due to the per-
frame prediction for videos of high frame rates. In recent work, compact models or adaptive …
frame prediction for videos of high frame rates. In recent work, compact models or adaptive …
Robust unpaired image dehazing via adversarial deformation constraint
Due to the flexible training requirement and the appealing generalization ability, unpaired
image dehazing has received increasing attention in co** with real-world hazy images …
image dehazing has received increasing attention in co** with real-world hazy images …
An adaptive post-processing network with the global-local aggregation for semantic segmentation
Current semantic segmentation methods mainly focus on modeling the context of the global
image to obtain high-quality segmentation results. However, they ignore the role of local …
image to obtain high-quality segmentation results. However, they ignore the role of local …
Compact interactive dual-branch network for real-time semantic segmentation
Y Dong, H Yang, Y Pei, L Shen, L Zheng… - Complex & Intelligent …, 2023 - Springer
The traditional complete dual-branch structure is effective for semantic segmentation tasks.
However, it is redundant in some sense. Moreover, the simple additive fusion of the features …
However, it is redundant in some sense. Moreover, the simple additive fusion of the features …
Information transfer in semi-supervised semantic segmentation
Enhancing the accuracy of dense classification with limited labeled data and abundant
unlabeled data, known as semi-supervised semantic segmentation, is an essential task in …
unlabeled data, known as semi-supervised semantic segmentation, is an essential task in …
Lightweight distortion-aware network for salient object detection in omnidirectional images
Compared with 2D image salient object detection (SOD), SOD in omnidirectional images (or
360° images) usually suffers from geometric distortion. Although existing omnidirectional …
360° images) usually suffers from geometric distortion. Although existing omnidirectional …
Separable structure modeling for semi-supervised video object segmentation
In this paper, we propose a separable structure modeling approach for semi-supervised
video object segmentation. Unlike most existing methods which preclude the semantically …
video object segmentation. Unlike most existing methods which preclude the semantically …
Hfvos: History-future integrated dynamic memory for video object segmentation
Memory-based methods have substantially enhanced the precision of video object
segmentation (VOS) by storing features in an expanding memory bank. However, this comes …
segmentation (VOS) by storing features in an expanding memory bank. However, this comes …
Unified architecture adaptation for compressed domain semantic inference
Advances in both lossy image compression and semantic content understanding have been
greatly fueled by deep learning techniques, yet these two tasks have been developed …
greatly fueled by deep learning techniques, yet these two tasks have been developed …
Motion adaptive pose estimation from compressed videos
Human pose estimation from videos has many real-world applications. Existing methods
focus on applying models with a uniform computation profile on fully de-coded frames …
focus on applying models with a uniform computation profile on fully de-coded frames …