Ashish Patel 🇮🇳’s Post

𝗗𝗮𝘆-𝟭𝟳𝟱 Computer Vision Learning 𝗨𝗙𝗢²: A Unified Framework towards Omni-supervised Object Detection by NVIDIA and University of Illinois at Urbana-Champaign Follow me for a similar post:  🇮🇳 Ashish Patel Interesting Facts : 🔸 This is a paper in ECCV2020 with over 6 citations. ------------------------------------------------------------------- 𝗔𝗺𝗮𝘇𝗶𝗻𝗴 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 : https://lnkd.in/eJim_-u Code : https://lnkd.in/eFXP7Z6 ------------------------------------------------------------------- 𝗜𝗠𝗣𝗢𝗥𝗧𝗔𝗡𝗖𝗘 🔸 Existing work on object detection often relies on a single form of annotation: the model is trained using either accurate yet costly bounding boxes or cheaper but less expressive image-level tags. 🔸 However, real-world annotations are often diverse in form, which challenges these existing works, UFO2 a unified object detection framework that can handle different forms of supervision simultaneously. Specifically, UFO2 incorporates strong supervision (e.g., boxes), various forms of partial supervision (e.g., class tags, points, and scribbles), and unlabeled data. 🔸Through rigorous evaluations, It demonstrates that each form of label can be utilized to either train a model from scratch or to further improve a pre-trained model. We also use UFO2 to investigate budget-aware omni-supervised learning, i.e., various annotation policies are studied under a fixed annotation budget: we show that competitive performance needs no strong labels for all data. #computervision #artificialintelligence #innovation