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09/18/2023
Unified Coarse-to-Fine Alignment for Video-Text Retrieval
The canonical approach to video-text retrieval leverages a coarse-graine...
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04/28/2023
An Empirical Study of Multimodal Model Merging
Model merging (e.g., via interpolation or task arithmetic) fuses multipl...
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12/15/2022
Vision Transformers are Parameter-Efficient Audio-Visual Learners
Vision transformers (ViTs) have achieved impressive results on various c...
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06/13/2022
LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning
Fine-tuning large pre-trained models on downstream tasks has been adopte...
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12/13/2021
VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks
Recently, fine-tuning language models pre-trained on large text corpora ...
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11/18/2021