Work

CLIPping Imbalances: A Novel Evaluation Baseline and PEARL Dataset for Pedestrian Attribute Recognition

Year: 2025

Type: conference-paper

Source: IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

DOI: 10.1109/wacv61041.2025.00690

Authors: Kamalakar Vijay Thakare, Lalit Lohani, Kamakshya Prasad Nayak, Debi Prosad Dogra, Heeseung Choi, Hyungjoo Jung, Ig-Jae Kim

Institutions: Korean Association Of Science and Technology Studies, Korea Institute of Science and Technology, Indian Institute of Technology Bhubaneswar

Language: English

Topic: Advanced Neural Network Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Reduced inequalities

Open Access status: closed

OpenAlex ID: W4409264010

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