3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.RO2024
An Efficient Deep Reinforcement Learning Model for Online 3D Bin Packing Combining Object Rearrangement and Stable Placement
Peiwen Zhou, Ziyan Gao, Chenghao Li +1
This paper presents an efficient deep reinforcement learning (DRL) framework for online 3D bin packing (3D-BPP). The 3D-BPP is an NP-hard problem significant in logistics, warehous…
cs.CV2023★ 3 cited
Understanding Segment Anything Model: SAM is Biased Towards Texture Rather than Shape
Chaoning Zhang, Yu Qiao, Shehbaz Tariq +5
In contrast to the human vision that mainly depends on the shape for recognizing the objects, deep image recognition models are widely known to be biased toward texture. Recently,…
cs.CV2023
Toward a Deeper Understanding: RetNet Viewed through Convolution
Chenghao Li, Chaoning Zhang
The success of Vision Transformer (ViT) has been widely reported on a wide range of image recognition tasks. ViT can learn global dependencies superior to CNN, yet CNN's inherent l…