3 papers
cs.CV2025
Thinking Beyond Labels: Vocabulary-Free Fine-Grained Recognition using Reasoning-Augmented LMMs
Dmitry Demidov, Zaigham Zaheer, Zongyan Han +2
Vocabulary-free fine-grained image recognition aims to distinguish visually similar categories within a meta-class without a fixed, human-defined label set. Existing solutions for…
cs.CV2025
Vocabulary-free Fine-grained Visual Recognition via Enriched Contextually Grounded Vision-Language Model
Dmitry Demidov, Zaigham Zaheer, Omkar Thawakar +2
Fine-grained image classification, the task of distinguishing between visually similar subcategories within a broader category (e.g., bird species, car models, flower types), is a…
eess.IV2025
How Good is my Histopathology Vision-Language Foundation Model? A Holistic Benchmark
Roba Al Majzoub, Hashmat Malik, Muzammal Naseer +4
Recently, histopathology vision-language foundation models (VLMs) have gained popularity due to their enhanced performance and generalizability across different downstream tasks. H…