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icip2022 paper: sahi benchmark on visdrone and xview datasets using fcos, vfnet and tood detectors

benchmark pytorch coco object-detection xview sahi visdrone mmdetection fcos small-object-detection tood vfnet icip2022

A lightweight script for performing Kalman filter based object tracking using MMDetection models.

python tracking notebook torch pytorch colab object-detection object-tracking realtime-tracking kalman-tracking mmdetection mmdet varifocal-loss varifocalnet vfnet norfair

Objective: Develop an application that can reliably locate and identify surgical instruments in an image.

Detect objects in satellite imagery using a range of models for the xView Detection Challenge dataset.

android challenge tex benchmark machine-learning webview deep-learning coco katex object-detection xview rain-view money-view draw-something-view particleview yolov3-training small-object-detection vfnet icip2022

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