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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 …
Rethinking camouflaged object detection: Models and datasets
H Bi, C Zhang, K Wang, J Tong… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Camouflaged object detection (COD) is an emerging visual detection task, which aims to
locate and distinguish the disguised target in complex backgrounds by imitating the human …
locate and distinguish the disguised target in complex backgrounds by imitating the human …
Camouflaged object detection with feature decomposition and edge reconstruction
Camouflaged object detection (COD) aims to address the tough issue of identifying
camouflaged objects visually blended into the surrounding backgrounds. COD is a …
camouflaged objects visually blended into the surrounding backgrounds. COD is a …
Feature shrinkage pyramid for camouflaged object detection with transformers
Zoom in and out: A mixed-scale triplet network for camouflaged object detection
The recently proposed camouflaged object detection (COD) attempts to segment objects that
are visually blended into their surroundings, which is extremely complex and difficult in real …
are visually blended into their surroundings, which is extremely complex and difficult in real …
Detecting camouflaged object in frequency domain
Camouflaged object detection (COD) aims to identify objects that are perfectly embedded in
their environment, which has various downstream applications in fields such as medicine …
their environment, which has various downstream applications in fields such as medicine …
Segment, magnify and reiterate: Detecting camouflaged objects the hard way
It is challenging to accurately detect camouflaged objects from their highly similar
surroundings. Existing methods mainly leverage a single-stage detection fashion, while …
surroundings. Existing methods mainly leverage a single-stage detection fashion, while …
Boundary-guided camouflaged object detection
Camouflaged object detection (COD), segmenting objects that are elegantly blended into
their surroundings, is a valuable yet challenging task. Existing deep-learning methods often …
their surroundings, is a valuable yet challenging task. Existing deep-learning methods often …
Concealed object detection
We present the first systematic study on concealed object detection (COD), which aims to
identify objects that are visually embedded in their background. The high intrinsic similarities …
identify objects that are visually embedded in their background. The high intrinsic similarities …