Convolutional Block Attention Module

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4 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

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TEEP-RCNN: Texture-Enhanced Edge-aware Perception for Steel Surface Defect Detection via Improved Convolutional Block Attention in Faster R-CNN
Sep 23, 2026Kirtan RajeshDefect Detection Convolutional Block Attention Module
Independent Researcher
CRFCAN: A Complex-Valued Cross-Domain Residual Network for Joint Channel and Phase Noise Estimation in Sub-THz OFDM Systems
Sep 14, 2026Ruilin Wang, Xiaodai DongChannel Estimation Fourier
Department of Electrical and Computer Engineering, University of Victoria, Victoria, BC V8P 5C2, Canada
Enhanced Deformable Convolution with Center-invariant Offset and Edge-aware Mask
Sep 9, 2026Yixiao Li, Xiaoyuan Yang, Jin Jiang +5Convolutional Block Attention Module Deformable Cnn
School of Mathematical Sciences, Beihang University, Beijing, China · Shanghai Academy of Spaceflight Technology, Shanghai Radio Equipment Research Institute, Shanghai, China · School of Computational and Mathematical Sciences, Cardiff University, Cardiff, United Kingdom +3
ConCA: Concentration-Aware Channel Attention for Fine-Grained Visual Recognition
Aug 31, 2026Yu-Sheng Liu, Yu-Chen TungConvolutional Block Attention Module Fine-Grained Perception
Department of Physics, National Kaohsiung Normal University, Kaohsiung, 824, Taiwan
Embedding Rotation Invariance for Provable Multi-Oriented Scene Text Recognition
Aug 11, 2026Zhibin Ma, Pengwen Dai, Yi Liu +3Scene Text Recognition Detection Transformer
Shenzhen Campus of Sun Yat-sen University, China · Shenzhen Key Laboratory of Adversarial Artificial Intelligence, China · Baidu Inc., China +1
Learning Social Robot Navigation By Sensing Human Legs
Jul 30, 2026Alberto Vaglio, Andrea Garulli, Antonio Giannitrapani +2Robot Navigation Two-Dimensional Light Detection And Ranging
Department of Information Engineering and Mathematics, University of Siena, Siena, Italy · Uninettuno University, Rome, Italy
An Intelligent-Cloud Edge Multimodal Interaction System for Robots
Jul 16, 2026Zihan Guo, Xiaoqi LiHuman-Robot Interaction Robotic Perception
Hainan University, China
Graph Convolutional Attention: A Spectral Perspective on Graph Denoising and Diffusion
Jul 7, 2026Shervin Khalafi, Igor Krawczuk, Sergio Rozada +3Interleaved Graph Attention Iterative Denoising Methods
University of Pennsylvania · King Juan Carlos University · Stanford University
Real-Time Underwater Image Enhancement via Frequency-Guided Dual-Path Attention
Jun 29, 2026Leshen Zhang, Ao Li, Ce ZhuUnderwater Image Enhancement Methods Convolutional Block Attention Module
Glasgow College, UESTC, Chengdu, China · University of Glasgow, Glasgow, UK · School of Information and Communication Engineering, UESTC, Chengdu, China
Improving Adversarial Robustness via Activation Amplification and Attenuation
Jun 26, 2026Taïga Gonçalves, Yongsong Huang, Tomo Miyazaki +1Convolutional Block Attention Module
Graduate School of Engineering, Tohoku University, Japan
REViT: Roto-reflection Equivariant Convolutional Vision Transformer
Jun 24, 2026Sheir A. Zaheer, Alexander C. Holston, Chan Y. ParkSelf-Supervised Vision Transformers Rotation Equivariance
1KC Machine Learning Lab, Seoul, Rep. of Korea.
GOOSE-M2F: Adapting Mask2Former for High-Fidelity, Long-Tailed Fine-Grained Semantic Segmentation in Unstructured Outdoor Terrain
Jun 14, 2026Jyothiraditya Lingam, Nikhileswara Rao Sulake, Sai Manikanta Eswar MacharaMask2Former Semantic Segmentation
Department of Computer Science and Engineering Rajiv Gandhi University of Knowledge Technologies, Nuzvid, India
RoVE: Rotary Value Embeddings Attention for Relative Position-dependent Value Pathways
Jun 9, 2026Alejandro García-Castellanos, Maurice Weiler, Erik J BekkersRotary Position Embedding Convolutional Block Attention Module
AMLab, University of Amsterdam · MIT CSAIL
Detection of Virus and Small Cell Patches in Foci Images Using Switchable Convolution and Feature Pyramid Networks
May 21, 2026Amrita Singh, Snehasis MukherjeeFeature Pyramid Yolo26
Lighting-aware Unified Model for Instance Segmentation
May 19, 2026Qisai Liu, Alloy Das, Zhanhong Jiang +4Lighting Recent Vision Foundation Models
Iowa State University, Ames, IA 50011, USA
Multi-Block Attention for Efficient Channel Estimation in IRS-Assisted mmWave MIMO
May 14, 2026Mehrdad Momen-Tayefeh, Mehrshad Momen-Tayefeh, Maryam SabbaghianChannel Estimation Reconfigurable Intelligent Surfaces
School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran · Department of Computer Engineering, Sharif University of Technology, Tehran, Iran
A Marine Debris Detection Framework for Ocean Robots via Self-Attention Enhancement and Feature Interaction Optimization
May 8, 2026Yuyang Li, Jiashu Han, Yinyi Lai +2Ship Detection Yolo26
School of Department of Mechanical Engineering, Hohai University, Changzhou, 213200, China · Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031, China · Department of Mechanical Engineering, City University of Hong Kong, Hong Kong SAR, 999077, China
LoHGNet: Infrared Small Target Detection through Lorentz Geometric Encoding with High-Order Relation Learning
May 8, 2026Qianwen Ma, Yang Xu, Shangwei Deng +2Infrared Small Target Detection Convolutional Block Attention Module
School of Marine Science and Technology, Tianjin University, Tianjin 300072, China · Jiangxi Key Laboratory of Advanced Electronic Materials and Device, Jiangxi Science and Technology Normal University, Nanchang 330028, China
Improving Imbalanced Multi-Label Chest X-Ray Diagnosis via CBAM-Enhanced CNN Backbones
May 4, 2026Duy Nguyen Huu, Duy Hoang Khuong, Ngu Huynh Cong VietChest X-Ray Medical Image Classification
Department of Artificial Intelligence FPT University Ho Chi Minh City, Vietnam · Department of Computing Fundamental FPT University Ho Chi Minh City, Vietnam
Certified vs. Empirical Adversarial Robust-ness via Hybrid Convolutions with Attention Stochasticity
May 2, 2026Joy Dhar, Song Xia, Manish Kumar Pandey +5Adversarial Training Convolutional Block Attention Module
1Indian Institute of Technology Ropar · 2Nanyang Technological University · 3RoentGen Health +5
Selective Attention-Based Network for Robust Infrared Small Target Detection
Apr 27, 2026Yingming Zhang, Wuqi Su, Qing Xiao +1Infrared Small Target Detection Infrared
School of Software and Internet of Things Engineering, Zhejiang Gongshang University · School of Computer Science and Technology, Tiangong University
Attention-Augmented YOLOv8 with Ghost Convolution for Real-Time Vehicle Detection in Intelligent Transportation Systems
Apr 22, 2026Syed Sajid Ullah, Muhammad Zunair Zamir, Ahsan Ishfaq +1Automotive Detection Yolo26
School of Energy and Electrical Engineering, Chang’an University, Xi’an, China · School of Information Engineering, Chang’an University, Xi’an, China
YolovN-CBi: A Lightweight and Efficient Architecture for Real-Time Detection of Small UAVs
Dec 19, 2025Ami Pandat, Punna Rajasekhar, Gopika Vinod +1Drone Detection Yolo26
Homi Bhabha National Institute, Mumbai, 400094, Maharashtra, India. · Bhabha Atomic Research Center, Mumbai, 400094, Maharashtra, India.
Unifying Convolution and Attention via Convolutional Nearest Neighbors
Nov 18, 2025Mingi Kang, Jeová Farias Sales Rocha NetoConvolutional Block Attention Module Convolutional Neural Networks
Bowdoin College
FEAT: A Linear-Complexity Foundation Model for Extremely Large Structured Data
Date pendingZhenghang Song, Tang Qian, Lu Chen +7Wireless Foundation Models Equivariant Learning
Zhejiang University · Ant Group · Aalborg University

Sep 23, 2026, cs.CVJ/K move · Enter open · S save

TEEP-RCNN: Texture-Enhanced Edge-aware Perception for Steel Surface Defect Detection via Improved Convolutional Block Attention in Faster R-CNN

Kirtan Rajesh

Independent Researcher

Defect Detection Convolutional Block Attention Module Edge-Aware

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Steel surface defect detection is critical for automated industrial quality control but remains challenging due to subtle inter-class texture differences and pronounced class imbalance. We introduce TEEP-RCNN (Texture-Enhanced Edge-aware Perception Region-based CNN), a two-stage detector built on Faster R-CNN with a Feature Pyramid Network backbone and an improved Convolutional Block Attention Module (CBAM). Our CBAM adds dropout regularization in the channel attention MLP and batch normalization on the spatial attention branch, reducing co-adaptation and stabilizing gating logits. Training uses a differential learning rate protocol with cosine annealing warm-up, separating update rates for the pre-trained ResNet-101 backbone and the detection head. At inference, predictions are refined via Test-Time Augmentation fused with Weighted Box Fusion (WBF), improving localization stability on elongated and boundary-adjacent defects. On the NEU-DET benchmark across six defect categories, TEEP-RCNN achieves 73.3% mAP@50 and 37.9% mAP@50-95 in only 10 training epochs on a single GPU, competitive with YOLOv11m (76.2% mAP@50, 100 epochs) while outperforming it on the rolled-in-scale category under the COCO metric. Per-class analysis shows the spatial attention branch is most effective on elongated texture defects such as patches and scratches, while crazing remains an open challenge across both paradigms due to its distributed non-local texture structure.

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