GroupViT is a framework for learning semantic segmentation purely from text captions without using any mask supervision. It learns to perform bottom-up heirarchical spatial grouping of ...

Train PyTorch FasterRCNN models easily on any custom dataset. Choose between official PyTorch models trained on COCO dataset, or choose any backbone from Torchvision classification models, or even ...

In cognitive neuroscience, the integration of deep neural networks (DNNs) with traditional neuroscientific analyses has significantly advanced our understanding of both biological neural processes and ...

The advancement of artificial intelligence has spurred progress across diverse scientific fields, with deep learning techniques enhancing autonomous driving and vessel detection applications. The ...

Abstract: In this paper, we propose a novel visual relation detection task, named Group Visual Relation Detection (GVRD), for detecting visual relations whose subjects and/or objects are groups (GVRs) ...

Construction waste is unavoidable in the process of urban development, causing serious environmental pollution. Accurate assessment of municipal construction waste generation requires building ...

Translating satellite imagery into maps requires intensive effort and time, especially leading to inaccurate maps of the affected regions during disaster and conflict. The combination of availability ...