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cs.CV2024
DiP-GO: A Diffusion Pruner via Few-step Gradient Optimization
Haowei Zhu, Dehua Tang, Ji Liu +12
Diffusion models have achieved remarkable progress in the field of image generation due to their outstanding capabilities. However, these models require substantial computing resou…
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
Sparse Laneformer
Ji Liu, Zifeng Zhang, Mingjie Lu +7
Lane detection is a fundamental task in autonomous driving, and has achieved great progress as deep learning emerges. Previous anchor-based methods often design dense anchors, whic…