arXiv AI July 7, 2026 By Savitha N J, Lata B T

Attention-Guided Efficientnet Architecture For Precise Criminal Identification in Surveillance Images

arXiv:2607. 03073v1 Announce Type: cross Abstract: Criminal identification from surveillance imagery has become a critical research area in intelligent forensic surveillance systems due to the increasing deployment of CCTV cameras in public and private environments.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

benchmarks

arXiv AI

Jul 21

ForensicNet: Lightweight Attention-Enhanced MobileNetV2 for Automated Face Identification

arXiv:2607. 16273v1 Announce Type: cross Abstract: In forensic environments, automated identification of perpetrators is difficult due to pose changes, changes in light, occlusion, and lack of labeled data.

By Savitha N J, Lata B T

fine-tuning

arXiv AI

Jul 7

A Multi-Task Deep Learning Framework for Real-Time Intelligent Video Surveillance with Temporal Event Validation

arXiv:2607. 03131v1 Announce Type: cross Abstract: Modern video surveillance systems generate far more video streams than human operators can effectively monitor, making automated analysis essential for timely detection of security events.

By Estera Dumitru, Stelian Sp\^inu

fine-tuning

arXiv Computer Vision

Sep 16

CFGPNet: Cross-Attention-Based Fused Gradient Programmed Network Framework for Multispectral Object Detection

arXiv:2608.06205v2 Announce Type: replace Abstract: Multispectral object detection combines visible and thermal imagery to improve perception under challenging illumination and environmental conditio...

By Nima Hatami, Karim Faez, Saeed Sharifian, Hamidreza Amindavar

computer-vision

arXiv AI

Jul 7

PLGSA-Transformer: Periocular Landmark-Guided Attention with Occlusion-Adaptive Cosine Thresholding for Cross-Modal Masked and Unmasked Face Recognition

arXiv:2607. 03581v1 Announce Type: cross Abstract: The widespread adoption of facial masks, accelerated by COVID-19 and mandated in security-sensitive settings, has exposed limitations of conventional face recognition systems.

By Dana A Abdullah

llms multimodal

Hugging Face Trending Papers

Sep 1

Low-Quality Face Recognition using Center Aligned Representations and Local Margin Constraints

Low-quality face recognition (LQFR) remains challenging due to the difficulty of matching degraded query (probe) images against low-quality (LQ) enrollment (gallery) imagery and the scarcity of traini...

llms fine-tuning benchmarks

arXiv Computer Vision

Sep 2

Low-Quality Face Recognition using Center Aligned Representations and Local Margin Constraints

arXiv:2609.01014v1 Announce Type: new Abstract: Low-quality face recognition (LQFR) remains challenging due to the difficulty of matching degraded query (probe) images against low-quality (LQ) enroll...

By Vedat Can Dilaver, Benjamin S. Riggan

llms fine-tuning benchmarks

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ForensicNet: Lightweight Attention-Enhanced MobileNetV2 for Automated Face Identification

A Multi-Task Deep Learning Framework for Real-Time Intelligent Video Surveillance with Temporal Event Validation

CFGPNet: Cross-Attention-Based Fused Gradient Programmed Network Framework for Multispectral Object Detection

PLGSA-Transformer: Periocular Landmark-Guided Attention with Occlusion-Adaptive Cosine Thresholding for Cross-Modal Masked and Unmasked Face Recognition

Low-Quality Face Recognition using Center Aligned Representations and Local Margin Constraints

Low-Quality Face Recognition using Center Aligned Representations and Local Margin Constraints