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cs.CV2025
Enhancing Transformer-Based Vision Models: Addressing Feature Map Anomalies Through Novel Optimization Strategies
Sumit Mamtani
Vision Transformers (ViTs) have demonstrated superior performance across a wide range of computer vision tasks. However, structured noise artifacts in their feature maps hinder dow…
cs.CV2025
Fine-Grained Classification: Connecting Metadata via Cross-Contrastive Pre-Training
Sumit Mamtani, Yash Thesia
Fine-grained visual classification aims to recognize objects belonging to many subordinate categories of a supercategory, where appearance alone often fails to distinguish highly s…