3 papers
cs.CV2026
Prompt Sensitivity in Vision-Language Grounding: How Small Changes in Wording Affect Object Detection
Dawar Jyoti Deka, Amit Sethi, Syed Mohammad Ali
Vision-language models enable open-vocabulary object grounding through natural language queries, under the implicit assumption that semantically equivalent descriptions yield consi…
cs.CV2025
Mix, Align, Distil: Reliable Cross-Domain Atypical Mitosis Classification
Kaustubh Atey, Sameer Anand Jha, Gouranga Bala +1
Atypical mitotic figures (AMFs) are important histopathological markers yet remain challenging to identify consistently, particularly under domain shift stemming from scanner, stai…
cs.CV2024
Mitigating Instance-Dependent Label Noise: Integrating Self-Supervised Pretraining with Pseudo-Label Refinement
Gouranga Bala, Anuj Gupta, Subrat Kumar Behera +1
Deep learning models rely heavily on large volumes of labeled data to achieve high performance. However, real-world datasets often contain noisy labels due to human error, ambiguit…