T.J. Thomson receives funding from the Australian Research Council. He is an affiliate with the ARC Centre of Excellence for Automated Decision Making & Society. Aaron J. Snoswell receives research ...

Objects such as 'Oumuamua, Borisov and recently 3I/ATLAS have opened our eyes to the reality that outsiders regularly visit our solar system — and we're about to start spotting a whole lot more of ...

Astronomers have discovered a strange new object in our Milky Way. An international team reported Wednesday that this celestial object — perhaps a star, pair of stars or something else entirely — is ...

When using notebooks/adversarial_patch/attack_adversarial_patch_pytorch_yolo.ipynb, training a patch also impacts the object detection model resulting in lowered ...

Abstract: This work presents to detect road signs in a few seconds for avoid accidents. For this work, there is utilized YOLO v5 object detection algorithm with PyTorch. In this method, image ...

🚀 The feature I propose adding the implementation of Soft-NMS to the torchvision.ops library. Soft-NMS is an improved variant of the traditional Non-Maximum Suppression (NMS) algorithm, commonly used ...

Abstract: Traditional object detection models often lose the detailed outline information of the object. To address this problem, we propose the Fourier Series Object Detection (FSD). It encodes the ...

The detection of crucial components in the power distribution network is of great significance for ensuring the safe operation of the power grid. However, the challenges posed by complex environmental ...