C4MTS: Challenge on Categorizing Missing Traffic Signs from Contextual Cues

Traffic signs, despite being crucial for road safety, frequently remain absent. This challenge provides 200 scenes from a recent Missing Traffic Signs Video Dataset (MTSVD), distributed over four types of missing traffic signs: left-hand-curve, right-hand-curve, gap-in-median, and side-road-left, individually observed with their respective contextual cues. 2000 training images, each containing one of the four traffic signs with corresponding bounding boxes, are provided. Two tasks are proposed: object detection and missing traffic sign scene categorization. 54 teams registered for the challenge. Overall, the participants could improve the top-1 accuracy significantly by a margin of 31.5% over the baseline. This work presents the MTSVD in detail, challenge baselines, and the methodology undertaken by the top 2 teams.

In National Conference on Computer Vision, Pattern Recognition, Image Processing, and Graphics (NCVPRIPG 2023), pp. 141–154