Deep learning for video object segmentation: a review
As one of the fundamental problems in the field of video understanding, video object
segmentation aims at segmenting objects of interest throughout the given video sequence …
segmentation aims at segmenting objects of interest throughout the given video sequence …
MOSE: A new dataset for video object segmentation in complex scenes
Video object segmentation (VOS) aims at segmenting a particular object throughout the
entire video clip sequence. The state-of-the-art VOS methods have achieved excellent …
entire video clip sequence. The state-of-the-art VOS methods have achieved excellent …
A survey on deep learning technique for video segmentation
Video segmentation—partitioning video frames into multiple segments or objects—plays a
critical role in a broad range of practical applications, from enhancing visual effects in movie …
critical role in a broad range of practical applications, from enhancing visual effects in movie …
You can ground earlier than see: An effective and efficient pipeline for temporal sentence grounding in compressed videos
Given an untrimmed video, temporal sentence grounding (TSG) aims to locate a target
moment semantically according to a sentence query. Although previous respectable works …
moment semantically according to a sentence query. Although previous respectable works …
Elf: accelerate high-resolution mobile deep vision with content-aware parallel offloading
As mobile devices continuously generate streams of images and videos, a new class of
mobile deep vision applications are rapidly emerging, which usually involve running deep …
mobile deep vision applications are rapidly emerging, which usually involve running deep …
Spatiotemporal data mining: a survey on challenges and open problems
Spatiotemporal data mining (STDM) discovers useful patterns from the dynamic interplay
between space and time. Several available surveys capture STDM advances and report a …
between space and time. Several available surveys capture STDM advances and report a …
Locality-aware inter-and intra-video reconstruction for self-supervised correspondence learning
Our target is to learn visual correspondence from unlabeled videos. We develop LIIR, a
locality-aware inter-and intra-video reconstruction framework that fills in three missing …
locality-aware inter-and intra-video reconstruction framework that fills in three missing …
Memory aggregation networks for efficient interactive video object segmentation
Interactive video object segmentation (iVOS) aims at efficiently harvesting high-quality
segmentation masks of the target object in a video with user interactions. Most previous state …
segmentation masks of the target object in a video with user interactions. Most previous state …
Video object segmentation using global and instance embedding learning
In this paper, we propose a feature embedding based video object segmentation (VOS)
method which is simple, fast and effective. The current VOS task involves two main …
method which is simple, fast and effective. The current VOS task involves two main …
How deep learning is empowering semantic segmentation: Traditional and deep learning techniques for semantic segmentation: A comparison
U Sehar, ML Naseem - Multimedia Tools and Applications, 2022 - Springer
Semantic segmentation involves extracting meaningful information from images or input
from a video or recording frames. It is the way to perform the extraction by checking pixels by …
from a video or recording frames. It is the way to perform the extraction by checking pixels by …