← Search

Sha Meng

2 accepted papers

2024

P2P: Transforming from Point Supervision to Explicit Visual Prompt for Object Detection and Segmentation

IJCAI 2024poster

Point-supervised vision tasks, including detection and segmentation, aiming to learn a network that transforms from points to pseudo labels, have attracted much attention in recent years. However, the lack of precise object size and boundary annotations in the point-supervised condition results in a…

2023

Tracking without Label: Unsupervised Multiple Object Tracking via Contrastive Similarity Learning

ICCV 2023poster

Unsupervised learning is a challenging task due to the lack of labels. Multiple Object Tracking (MOT), which inevitably suffers from mutual object interference, occlusion, etc., is even more difficult without label supervision. In this paper, we explore the latent consistency of sample features acro…

Cited by 8PDFScholar