Contrastive self-supervised learning has outperformed supervised pretraining on many downstream tasks like segmentation and object detection ... The representations can be used for semantic segment ...

This paper addresses this issue by introducing a time-frequency contrastive learning method that effectively captures temporal and frequency domain information. Through extensive experiments on 30 ...

In this paper, we propose a novel incomplete multi-view clustering network to address the aforementioned issue, named Incomplete Multi-view Clustering via Multi-level Contrastive Learning (IMC-MCL).

What makes a shape symmetrical? Find out what makes a shape symmetrical. Positions, directions and turns Learn some words you can use to describe the position and movement of an object.

To achieve this, we introduce a novel two-step framework that adopts a predetermined prior in a contrastive optimization ... on PASCAL through segment retrieval. First, we compute a feature vector for ...