1 citations · 2 across the 4 of their papers we have counts for
4 papers
ARMBench: An Object-centric Benchmark Dataset for Robotic Manipulation
Chaitanya Mitash, Fan Wang, Shiyang Lu +4
This paper introduces Amazon Robotic Manipulation Benchmark (ARMBench), a large-scale, object-centric benchmark dataset for robotic manipulation in the context of a warehouse. Auto…
D2Q-DETR: Decoupling and Dynamic Queries for Oriented Object Detection with Transformers
Qiang Zhou, Chaohui Yu, Zhibin Wang +1
Despite the promising results, existing oriented object detection methods usually involve heuristically designed rules, e.g., RRoI generation, rotated NMS. In this paper, we propos…
FAKD: Feature Augmented Knowledge Distillation for Semantic Segmentation
Jianlong Yuan, Qian Qi, Fei Du +3
In this work, we explore data augmentations for knowledge distillation on semantic segmentation. To avoid over-fitting to the noise in the teacher network, a large number of traini…
ELSA: Enhanced Local Self-Attention for Vision Transformer
Jingkai Zhou, Pichao Wang, Fan Wang +3
Self-attention is powerful in modeling long-range dependencies, but it is weak in local finer-level feature learning. The performance of local self-attention (LSA) is just on par w…