Progressive Sparse Local Attention for Video Object Detection

Chaoxu Guo, Bin Fan, Jie Gu, +4

Imagenet VidMachine VisionImage AnalysisVideo Object DetectionEngineering +11

The image annotation algorithm using convolutional features from intermediate layer of deep learning

Yuantao Chen, Linwu Liu, Jiajun Tao, +6

Multimedia Tools and Applications

Data AnnotationImage ClassificationConvolutional Neural NetworkMachine VisionMachine Learning +11

Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation

Jialian Wu, Liangchen Song, Tiancai Wang, +2

Convolutional Neural NetworkMultiple Instance LearningEngineeringMachine LearningObject Categorization +19

MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction

Bencheng Liao, Shaoyu Chen, Xinggang Wang, +4

arXiv (Cornell University)

Geometric LearningEngineeringMachine LearningDriving ScenePoint Cloud Processing +17

AugFPN: Improving Multi-scale Feature Learning for Object Detection

Chaoxu Guo, Bin Fan, Qian Zhang, +2

arXiv (Cornell University)

Convolutional Neural NetworkImage AnalysisMachine LearningMachine VisionData Science +13

ResizeMix: Mixing Data with Preserved Object Information and True Labels

Jie Qin, Jiemin Fang, Qian Zhang, +3

arXiv (Cornell University)

Convolutional Neural NetworkScene AnalysisEngineeringMachine LearningImage Classification +17

Spatial Context-Aware Object-Attentional Network for Multi-Label Image Classification

Jialu Zhang, Jianfeng Ren, Qian Zhang, +2

IEEE Transactions on Image Processing

Context InformationMulti-label Image ClassificationConvolutional Neural NetworkMultiple Instance LearningImage Analysis +11

Progressive Sparse Local Attention for Video object detection

Chaoxu Guo, Bin Fan, Jie Gu, +4

arXiv (Cornell University)

Imagenet VidMachine VisionImage AnalysisVideo Object DetectionEngineering +11

Deep momentum uncertainty hashing

Chaoyou Fu, Guoli Wang, Xiang Wu, +2

Pattern Recognition

EngineeringMachine LearningUncertainty QuantificationUncertainty PrincipleHash Function +3

MITER: Medical Image–TExt joint adaptive pretRaining with multi-level contrastive learning

Chang Shu, Yi Zhu, Xiaochu Tang, +5

Expert Systems with Applications

EngineeringMachine LearningMiter FrameworkMultimodal LearningNatural Language Processing +16