2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CV2025
Generating Part-Based Global Explanations Via Correspondence
Kunal Rathore, Prasad Tadepalli
Deep learning models are notoriously opaque. Existing explanation methods often focus on localized visual explanations for individual images. Concept-based explanations, while offe…
cs.CV2022★ 2 cited
Contrastive Learning for Object Detection
Rishab Balasubramanian, Kunal Rathore
Contrastive learning is commonly used as a method of self-supervised learning with the "anchor" and "positive" being two random augmentations of a given input image, and the "negat…
cs.CV2022★ 1 cited
Contrastive Learning for OOD in Object detection
Rishab Balasubramanian, Rupashree Dey, Kunal Rathore
Contrastive learning is commonly applied to self-supervised learning, and has been shown to outperform traditional approaches such as the triplet loss and N-pair loss. However, the…