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You Only Landmark Once: Lightweight U-Net Face Super Resolution with YOLO-World Landmark Heatmaps
arXiv:2605.14166v2 Announce Type: replace Abstract: Face image super-resolution aims to recover high-resolution facial images from severely degraded inputs. Under extreme upscaling factors, fine facial details are often lost, making accurate reconstruction challenging. Existing methods typically rely on heavy network architectures, adversarial training schemes, or separate alignment networks, increasing model complexity and computational cost.
PillarDETR: YOLO-Backbone and RT-DETR Head for Real-Time 3D Object Detection
Announce Type: new Abstract: Real-time 3D object detection is a critical component for the safe operation of autonomous driving systems and robotics. While LiDAR point clouds provide accurate spatial information, processing them efficiently remains a significant challenge. Traditional methods rely on complex 3D convolutions or anchor-based paradigms that struggle to balance detection accuracy with inference speed.
Attention-Guided Autoencoder Fusion for Insulator Defect Detection Using UAV Transmission-Line Imaging
arXiv:2606.06536v1 Announce Type: new Abstract: Automated defect detection in high-voltage transmission-line insulators remains challenging due to severe class imbalance, large scale variation, and the small spatial extent of defect instances in Unmanned Aerial Vehicle (UAV) imagery. To address these challenges, this paper proposes AE-YOLO, an Attention-Guided AutoEncoder-Enhanced YOLO framework for robust insulator defect detection. The architecture integrates lightweight bottleneck...
Ultralytics YOLO26: Unified Real-Time End-to-End Vision Models
arXiv:2606.03748v1 Announce Type: new Abstract: Real-time vision demands models that are accurate, efficient, and simple to deploy across diverse hardware. The YOLO family has become widely deployed for this reason, yet most YOLO detectors still rely on non-maximum suppression at inference, carry heavy detection heads due to Distribution Focal Loss, require long training schedules, and can leave the smallest objects without positive label assignments. We present Ultralytics YOLO26, a unified...
HYolo: An Intelligent IoT-Based Object Detection System Using Hypergraph Learning
Announce Type: new Abstract: This paper presents HYolo, an intelligent IoT-based object detection framework that integrates hypergraph learning into the YOLO architecture. Traditional YOLO-based object detection models primarily capture pairwise feature interactions and may fail to model complex high-order relationships among objects and contextual features. To address this limitation, HYolo incorporates hypergraph learning to capture richer contextual dependencies and improve object...
Exclusive: Trump says Iran hasn't made a deal because ‘they’re strong’ and ‘proud’
IE 11 is not supported. For an optimal experience visit our site on another browser. Now Playing Exclusive: Trump says Iran hasn't made a deal because ‘they’re strong’ and ‘proud’ 03:08UP NEXT ‘YOLO caucus’ in Senate is ‘lighting fires’ but stopping short of ‘burning the whole house down’ 15:37‘I’m not going to defend someone with that kind of history’:
Trump on new Fed Chair Warsh: ‘I don’t want to have a big influence on him’
Trump says ‘I’d pay’ anti-weaponization fund applicants ‘the kind of money they deserve’ 06:40 Now Playing Trump on new Fed Chair Warsh: ‘I don’t want to have a big influence on him’ 12:44 UP NEXT ‘I’m not going to defend someone with that kind of history’: Rep. Dingell on Graham Platner 09:53 Exclusive: Trump says Iran hasn't made a deal because ‘they’re strong’ and ‘proud’ 03:08 ‘YOLO caucus’ in Senate is ‘lighting fires’ but stopping short of ‘burning the whole house down’ 15:37
Trump says ‘I’d pay’ anti-weaponization fund applicants ‘the kind of money they deserve’
Trump says ‘I’d pay’ anti-weaponization fund applicants ‘the kind of money they deserve’ 06:40 UP NEXT Trump on new Fed Chair Warsh: ‘I don’t want to have a big influence on him’ 12:44 ‘I’m not going to defend someone with that kind of history’: Rep. Dingell on Graham Platner 09:53 Exclusive: Trump says Iran hasn't made a deal because ‘they’re strong’ and ‘proud’ 03:08 ‘YOLO caucus’ in Senate is ‘lighting fires’ but stopping short of ‘burning the whole house down’ 15:37
Feasibility to detect rapid change and disappearance of seagrass: Lessons from nearly 80 years of vegetation change in the Ako, Seto Inland Sea, Japan
Announce Type: cross Abstract: This study analyses the Ako tidal flat in the Seto Inland Sea, Japan, where nearly all Zostera marina disappeared within a single year in 2025. Using aerial photographs from the 1940s onward, high-resolution satellite imagery, GRUS images (2.5-5 m), and monthly Sentinel-2 composites (10 m), we reconstructed approximately 80 years of seagrass distribution. YOLO-based segmentation using deep learning achieved high accuracy (overall accuracy >= 0.9) across these...
Republicans balk at Trump’s attempt to appoint a MAGA enforcer to lead National Intelligence
Republicans balk at Trump’s attempt to appoint a MAGA enforcer to lead National Intelligence Trump’s cold reception comes after the GOP killed his ‘slush fund’ and angered plenty in the Senate Republican conference, Eric Garcia writes - Bookmark - CommentsGo to comments Senate Republicans have greeted President Donald Trump’s decision to name Bill Pulte to serve as acting director of National Intelligence with either ignorance or opposition. Pulte’s name was a shock. Aside from the fact that...