ENVIRONMENT: An Investment company is searching for a talented and driven Data Scientist to join their innovative and growing team based in Durbanville, Cape Town. This is an exciting opportunity to ...
We propose MaskCut approach to generate pseudo-masks for multiple objects in an image. CutLER can learn unsupervised object detectors and instance segmentors solely on ImageNet-1K. CutLER exhibits ...
NuML Studio is optimized for Windows and provides a "ready-to-use" version that does not require users to install Python or ...
Discover the top 12 tools in 2026, from Cursor to Copilot, to speed up daily dev workflows and build apps faster!
Abstract: Small-object detection in aerial imagery remains challenging due to background clutter, occlusion, and extreme scale variation. This paper presents YOLO–Spatial Attention Enhancement ...
Abstract: Spiking Neural Networks (SNNs) represent a biologically inspired paradigm offering an energy-efficient alternative to conventional artificial neural networks (ANNs) for Computer Vision (CV) ...
LONDON--(BUSINESS WIRE)--Ultralytics, the global leader in open-source vision AI, today announced the launch of Ultralytics YOLO26, the most advanced and deployable YOLO (You Only Look Once) model to ...
We implemented Panopticus using Python and CUDA for GPU-based acceleration. All neural networks were developed using PyTorch [41] and trained on the training set in the nuScenes dataset [2]. Note that ...
Oriented object detection has been developed rapidly in the past few years, where rotation equivariance is crucial for detectors to predict rotated boxes. It is expected that the prediction can ...
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