7 citations · 8 across the 7 of their papers we have counts for
3 papers · 1 filter
Cross-Layer Cache Aggregation for Token Reduction in Ultra-Fine-Grained Image Recognition
Edwin Arkel Rios, Jansen Christopher Yuanda, Vincent Leon Ghanz +3
Ultra-fine-grained image recognition (UFGIR) is a challenging task that involves classifying images within a macro-category. While traditional FGIR deals with classifying different…
Down-Sampling Inter-Layer Adapter for Parameter and Computation Efficient Ultra-Fine-Grained Image Recognition
Edwin Arkel Rios, Femiloye Oyerinde, Min-Chun Hu +1
Ultra-fine-grained image recognition (UFGIR) categorizes objects with extremely small differences between classes, such as distinguishing between cultivars within the same species,…
Global-Local Similarity for Efficient Fine-Grained Image Recognition with Vision Transformers
Edwin Arkel Rios, Min-Chun Hu, Bo-Cheng Lai
Fine-grained recognition involves the classification of images from subordinate macro-categories, and it is challenging due to small inter-class differences. To overcome this, most…