GewelsJI/SINet-V2
Concealed Object Detection (SINet-V2, IEEE TPAMI 2022). Code is implemented by PyTorch/Jittor frameworks.
This project helps professionals in fields like wildlife research, security, or industrial quality control automatically spot objects that are deliberately or naturally blended into their surroundings. It takes an image or video as input and highlights the concealed objects, providing a clear visual output of their location. This is ideal for anyone needing to identify hidden items that are difficult for the human eye to distinguish.
278 stars. No commits in the last 6 months.
Use this if you need to reliably detect objects that are camouflaged or visually merge with their background in images or videos.
Not ideal if you are looking for a general object detection tool where objects are typically distinct from their environment.
Stars
278
Forks
62
Language
Python
License
Apache-2.0
Category
Last pushed
Jun 19, 2024
Commits (30d)
0
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