GhostNet: More Features From Cheap Operations

Kai Han, Yunhe Wang, Qi Tian, +3

Convolutional Neural NetworkEngineeringMachine LearningNetwork ComputingGhost Bottlenecks +18

Pre-Trained Image Processing Transformer

Hanting Chen, Yunhe Wang, Tianyu Guo, +7

Image PairsConvolutional Neural NetworkImage AnalysisMachine VisionMachine Learning +12

Transformer in Transformer

Kai Han, An Xiao, Enhua Wu, +3

arXiv (Cornell University)

EngineeringMachine LearningElectric Power ConversionMultimodal LlmImage Analysis +15

CMT: Convolutional Neural Networks Meet Vision Transformers

Jianyuan Guo, Kai Han, Han Wu, +4

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Image ClassificationConvolutional Neural NetworkMachine VisionImage AnalysisMachine Learning +12

Data-Free Learning of Student Networks

Hanting Chen, Yunhe Wang, Chang Xu, +6

Convolutional Neural NetworkEngineeringMachine LearningLearning NetworkAutoencoders +23

CARS: Continuous Evolution for Efficient Neural Architecture Search

Zhaohui Yang, Yunhe Wang, Xinghao Chen, +5

Artificial IntelligenceContinuous EvolutionModel OptimizationEvolution StrategyEngineering +11

GhostNetV2: Enhance Cheap Operation with Long-Range Attention

Yehui Tang, Kai Han, Jianyuan Guo, +3

arXiv (Cornell University)

Convolutional Neural NetworkEngineeringMachine LearningComputer ArchitectureVideo Interpretation +14

Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism

Chengcheng Wang, Wei He, Ying Nie, +4

arXiv (Cornell University)

Convolutional Neural NetworkEngineeringMachine LearningReal-time Object DetectionImage Analysis +14

Distilling Object Detectors via Decoupled Features

Jianyuan Guo, Kai Han, Yunhe Wang, +4

Convolutional Neural NetworkNovel Distillation AlgorithmFeature DetectionMachine LearningEngineering +14

A Survey on Visual Transformer

Kai Han, Yunhe Wang, Hanting Chen, +10

arXiv (Cornell University)