usage: run.py [-h] [--dataset DATASET] [--root ROOT] [--code-length CODE_LENGTH] [--max-iter MAX_ITER] [--num-anchor NUM_ANCHOR] [--num-train NUM_TRAIN] [--num-query ...

Abstract: Benefiting from the advantages of low storage cost and high retrieval efficiency, hash learning could significantly speed up large-scale cross-modal retrieval. Based on the prior annotations ...

Abstract: Vision-Language Pretraining (VLP) has developed a series of fancy foundation models, which continuously advance the state-of-the-art on various multimodal tasks. However, there has been ...

Implementation of "Breaking the Low-Rank Dilemma of Linear Attention" The Softmax attention mechanism in Transformer models is notoriously computationally expensive, particularly due to its quadratic ...