Aug 2026· International Journal of Multimedia Information Retrieval· Vol 15· 0 citations· 104 references
Computer Science
TL;DR
This survey is limited only to image-based PS using deep learning techniques and discusses the existing solutions and future directions in the domain of PS from various aspects.
Object detection and classification in videos has emerged as a core challenge in computer vision,
with applications spanning autonomous driving, surveillance, healthcare, robotics, and human–
computer interaction. Unlike still-image object detection, video-based detection requires handling
additional complexities such...
U. Bello· International Journal of Com...· 0 citations
Object and color detection is an important part of visual recognition and scene understanding, because recognizing an object together with its color provides the contextual cues needed to interpret real-world situations. Accurate detection is difficult, however, because of changes in lighting, complex backgrounds, and...
Bvn Prasad Paruchuri, Degala Mohana ManiVenkatesh, Srinivasa Rao Vankdoth et al.· Conference Proceedings in Sc...· 0 citations
This work provides a systematic review of TBPS by formalizing the problem setting and presenting a structured taxonomy of representative methods along four key technical dimensions: external knowledge-based approaches that leverage semantic priors to alleviate the inherent modality gap between visual and textual data.
Hai-Tao Shi, Meng Liu, Yong-Qi Li et al.· IEEE Transactions on Pattern...· 0 citations
Small object detection in aerial images remains challenging due to low resolution, arbitrary orientation, complex background, and extreme sparsity of targets. Existing deep learning methods struggle with weak feature discrimination and insufficient context modeling for tiny targets, and they largely treat human kno...
Xing-Ye Qiu, Chen-Huan Chen, Li Zhang· Scientific Reports· 0 citations
A new domain adaptive person re-ID model DELTA (Deep Cluster with Attention Method) based on the unsupervised learning is proposed, which is more flexible and does not require additional annotations on the target domain.
Qing-Yu Wang, Ru-Chun Jia, Bo Peng et al.· Applied intelligence (Boston...· 0 citations
The paper focuses on the computer vision task of camouflaged object detection that has various applications, including, but not limited to, military, security, biology, and industry. From the perspective of machine vision, camouflage is a state in which the target’s texture, colour, and pattern are indistinguishable fr...
Dharitree Devi, Arpita Prusty, Deepanjali Khadia et al.· International Research Journ...· 0 citations
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