Sep 30, 2020 · In this paper, we first contribute an open dataset with high-quality annotations to advance the research in this field. We also propose an ...
In this paper, we advocate the idea of mutually exchang- ing high-level semantics and low-level fine details for all level features as a solution for the issues ...
Infrared small target detection is the key technique for ap- plications including early warning systems, precision-guided weapons, and maritime surveillance ...
What's in this repo so far: Code and trained models for the SIRST (Single-frame InfraRed Small Target detection) dataset. The SIRST dataset is available at ...
In this paper, we first contribute an open dataset with high-quality annotations to advance the research in this field. We also propose an asymmetric contextual ...
Sep 30, 2020 · An open dataset with high-quality annotations is contributed and an asymmetric contextual modulation module specially designed for detecting ...
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The implement of paper "Asymmetric Contextual Modulation for Infrared Small Target Detection" in Pytorch - Tianfang-Zhang/acm-pytorch.
Sep 30, 2020 · View recent discussion. Abstract: Single-frame infrared small target detection remains a challenge not only due to the scarcity of intrinsic ...
Feb 4, 2021 · This content isn't available. 267 - Asymmetric Contextual Modulation for Infrared Small Target Detection. 163 views · 3 years ago ...more ...
In this paper, we adopt shuffle attention (SA) and asymmetric context modulation (ACM) as the asymmetric attention modules in our vertical process and ...
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