Dense Nested Attention Network for Infrared Small Target Detection

06/01/2021
by   Boyang Li, et al.
9

Single-frame infrared small target (SIRST) detection aims at separating small targets from clutter backgrounds. With the advances of deep learning, CNN-based methods have yielded promising results in generic object detection due to their powerful modeling capability. However, existing CNN-based methods cannot be directly applied for infrared small targets since pooling layers in their networks could lead to the loss of targets in deep layers. To handle this problem, we propose a dense nested attention network (DNANet) in this paper. Specifically, we design a dense nested interactive module (DNIM) to achieve progressive interaction among high-level and low-level features. With the repeated interaction in DNIM, infrared small targets in deep layers can be maintained. Based on DNIM, we further propose a cascaded channel and spatial attention module (CSAM) to adaptively enhance multi-level features. With our DNANet, contextual information of small targets can be well incorporated and fully exploited by repeated fusion and enhancement. Moreover, we develop an infrared small target dataset (namely, NUDT-SIRST) and propose a set of evaluation metrics to conduct comprehensive performance evaluation. Experiments on both public and our self-developed datasets demonstrate the effectiveness of our method. Compared to other state-of-the-art methods, our method achieves better performance in terms of probability of detection (Pd), false-alarm rate (Fa), and intersection of union (IoU).

READ FULL TEXT

page 1

page 3

page 5

page 7

page 8

page 9

page 10

page 11

research
10/29/2022

iSmallNet: Densely Nested Network with Label Decoupling for Infrared Small Target Detection

Small targets are often submerged in cluttered backgrounds of infrared i...
research
09/28/2022

MTU-Net: Multi-level TransUNet for Space-based Infrared Tiny Ship Detection

Space-based infrared tiny ship detection aims at separating tiny ships f...
research
09/30/2020

Asymmetric Contextual Modulation for Infrared Small Target Detection

Single-frame infrared small target detection remains a challenge not onl...
research
10/03/2022

Détection de petites cibles par apprentissage profond et critère a contrario

Small target detection is an essential yet challenging task in defense a...
research
06/05/2022

MPANet: Multi-Patch Attention For Infrared Small Target object Detection

Infrared small target detection (ISTD) has attracted widespread attentio...
research
12/15/2020

Attentional Local Contrast Networks for Infrared Small Target Detection

To mitigate the issue of minimal intrinsic features for pure data-driven...
research
10/18/2018

MRI Reconstruction via Cascaded Channel-wise Attention Network

We consider an MRI reconstruction problem with input of k-space data at ...

Please sign up or login with your details

Forgot password? Click here to reset