How is the robustness of the current state-of-the-art for recognition and detection algorithms in non-ideal visual environments? While the visual recognition research has made tremendous progress in recent years, most models are trained, applied, and evaluated on high-quality (HQ) visual data. However, in many emerging applications such as robotics and autonomous driving, the performances of visual sensing and analytics are largely jeopardized by low-quality(LQ) visual data acquired from unconstrained environments, suffering from various types of degradation such as low resolution, noise, occlusion, motion blur, contrast, brightness, sharpness, out-of-focus etc. We are proposing to organise the 2nd RLQ workshop in conjunction with ECCV 2020 to provide an integrated forum for both low-level and high-level vision researchers to review the recent progress of robust recognition models from LQ visual data and the novel image restoration algorithms.
[Challenge 1] In conjunction with the workshop, we will hold the 1st Tiny Object Detection (TOD) Challenge. This challenge targets at establishing a baseline for tiny person detection by presenting a new benchmark and various approaches, opening up a promising direction for tiny object detection in the wild. The new benchmark, named TinyPerson, spans challenges including extreme low-resolution, background diversity, multi-objects, part-invisibility, and various complex backgrounds that are far beyond those in existing datasets.
[Challenge 2] We will hold the first image restoration challenge on Under-Display Camera (UDC). The new trend of full-screen devices encourages us to position a camera behind a screen. Removing the bezel and centralizing the camera under the screen brings larger display-to-body ratio and enhances eye contact in video chat, but also causes image degradation. we focus on a newly-defined Under-Display Camera (UDC), as a novel real-world single image restoration problem. We will release the UDC dataset for training and testing, and rank the algorithms according to both performance and efficiency.
|Full Paper Submission Deadline||25 June 2020 (23:59 UTC-0)|
|Notification to Authors||10 July 2020 (23:59 UTC-0)|
|Camera-Ready Deadline||15 July 2020 (23:59 UTC-0)|
|Challenge Paper Submission Deadline||1 June 2020 (23:59 UTC-0)|
|Challenge Paper Notification||10 June 2020 (23:59 UTC-0)|
|Challenge Paper Camera-Ready||15 June 2020 (23:59 UTC-0)|
|Workshop Presentation||23 August 2020 (Whole Day)|