most citedNormalized Feature Distillation for Semantic Segmentation

6 citations · 8 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG20231 cited

An Offline Time-aware Apprenticeship Learning Framework for Evolving Reward Functions

Xi Yang, Ge Gao, Min Chi

Apprenticeship learning (AL) is a process of inducing effective decision-making policies via observing and imitating experts' demonstrations. Most existing AL approaches, however,…

cs.HC2023

Mixing Backward- with Forward-Chaining for Metacognitive Skill Acquisition and Transfer

Mark Abdelshiheed, John Wesley Hostetter, Xi Yang +2

Metacognitive skills have been commonly associated with preparation for future learning in deductive domains. Many researchers have regarded strategy- and time-awareness as two met…

cs.CV2023

OSIS: Efficient One-stage Network for 3D Instance Segmentation

Chuan Tang, Xi Yang

Current 3D instance segmentation models generally use multi-stage methods to extract instance objects, including clustering, feature extraction, and post-processing processes. Howe…

cs.CV2023

Multi-Granularity Archaeological Dating of Chinese Bronze Dings Based on a Knowledge-Guided Relation Graph

Rixin Zhou, Jiafu Wei, Qian Zhang +3

The archaeological dating of bronze dings has played a critical role in the study of ancient Chinese history. Current archaeology depends on trained experts to carry out bronze dat…

cs.CV20221 cited

3D Random Occlusion and Multi-Layer Projection for Deep Multi-Camera Pedestrian Localization

Rui Qiu, Ming Xu, Yuyao Yan +2

Although deep-learning based methods for monocular pedestrian detection have made great progress, they are still vulnerable to heavy occlusions. Using multi-view information fusion…

cs.CV20226 cited

Normalized Feature Distillation for Semantic Segmentation

Tao Liu, Xi Yang, Chenshu Chen

As a promising approach in model compression, knowledge distillation improves the performance of a compact model by transferring the knowledge from a cumbersome one. The kind of kn…