IEEE

Ellipse IoU Loss: Better Learning for Rotated Bounding Box Regression

Abstract: Rotated object detection is an important research content in the field of remote-sensing images. However, in the rotated object detection, the inconsistency between the loss function and the ...
marktechpost

Liquid AI Releases LFM2.5-VL-450M: a 450M-Parameter Vision-Language Model with Bounding Box Prediction, Multilingual Support, and Sub-250ms Edge Inference

Liquid AI just released LFM2.5-VL-450M, an updated version of its earlier LFM2-VL-450M vision-language model. The new release introduces bounding box prediction, improved instruction following, ...
The Daily Telegraph

‘A novice cook may have been left scratching their head’: Our nutritionist ranks recipe boxes

From HelloFresh to Riverford, healthy-eating expert Sam Rice and Telegraph readers spent weeks testing kits – with one clear winner Sam Rice is the best-selling author of The Midlife Kitchen and The ...
IEEE

RetinaNet-XAG: Multicategory SAR Target Detection Under Sample Imbalance With Oriented Bounding Boxes

Abstract: Fine-grained classification of multicategory vehicles and ships in synthetic aperture radar (SAR) imagery and accurate orientation estimation remains challenging. This is mainly due to the ...