most citedEDDA: A Encoder-Decoder Data Augmentation Framework for Zero-Shot Stance Detection

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cs.CV2024

Towards Scale-Aware Full Surround Monodepth with Transformers

Yuchen Yang, Xinyi Wang, Dong Li +3

Full surround monodepth (FSM) methods can learn from multiple camera views simultaneously in a self-supervised manner to predict the scale-aware depth, which is more practical for…

cs.CV2024

UPDP: A Unified Progressive Depth Pruner for CNN and Vision Transformer

Ji Liu, Dehua Tang, Yuanxian Huang +9

Traditional channel-wise pruning methods by reducing network channels struggle to effectively prune efficient CNN models with depth-wise convolutional layers and certain efficient…