Transfer learning from large-scale pre-trained models has become essential for many
computer vision tasks. Recent studies have shown that datasets like ImageNet are weakly …

Webly supervised learning has attracted increasing attention for its effectiveness in
exploring publicly accessible data at scale without manual annotation. However, most …

This paper focuses on webly supervised learning (WSL), where datasets are built by
crawling samples from the Internet and directly using search queries as web labels …

Webly supervised learning becomes attractive recently for its efficiency in data expansion
without expensive human labeling. However, adopting search queries or hashtags as web …

Shapes, surfaces, events, and objects (living and non-living) constitute the world. The
intelligence of natural agents, such as humans is beyond pattern recognition. We excel at …

Artificial intelligence is a subject that every day gains more traction and attention with the
media for the accomplishments it can fulfill. Artificial Intelligence branches out in a serial of …

Transfer learning from ImageNet pre-trained models has become essential for many
computer vision tasks. Recent studies have shown that ImageNet includes label ambiguity …