GitHub

Cut and Learn for Unsupervised Image & Video Object Detection and Instance Segmentation

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 ...
GitHub

RF-DETR: Real-Time SOTA Object Detection, Instance Segmentation, and Keypoint Detection

RF-DETR is a real-time transformer architecture for object detection, instance segmentation, and keypoint detection (preview) developed by Roboflow. Built on a DINOv2 vision transformer backbone, ...
The News Letter

Jayne Brady u-turn as NI Civil Service staff told not to participate in Pride parades in 'official capacity' - DUP welcome change of heart

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IEEE

3-D Building Instance Extraction From High-Resolution Remote Sensing Images and DSM With an End-to-End Deep Neural Network

Abstract: 3-D building models play a vital role in numerous applications including urban planning and smart cities. Recent 3-D building modeling methods either rely heavily on available manually ...
IEEE

HINTED: Hard Instance Enhanced Detector with Mixed-Density Feature Fusion for Sparsely-Supervised 3D Object Detection

Abstract: Current sparsely-supervised object detection methods largely depend on high threshold settings to derive high-quality pseudo labels from detector predictions. However, hard instances within ...