Context Aggregation Network This repository maintains the official implementation of the paperLearning to Aggregate Multi-Scale Context for Instance Segmentation in Remote Sensing ImagesbyYe Liu,Huifang Li,Chao Hu,Shuang Luo,Yan Luo, andChang Wen Chen, which has been accepted byTNNLS. ...
CATNet -> Learning to Aggregate Multi-Scale Context for Instance Segmentation in Remote Sensing Images Object-Detection-on-Satellite-Images-using-Mask-R-CNN -> detect ships FactSeg -> Foreground Activation Driven Small Object Semantic Segmentation in Large-Scale Remote Sensing Imagery (TGRS), als...
The integration of computer-aided design (CAD), computer-aided process planning (CAPP), and computer-aided manufacturing (CAM) systems is significantly enhanced by employing deep learning-based automatic feature recognition (AFR) methods. These methods o
Further options are temporal CNNs that combine features also across time with convolutions (Pelletier et al., 2019), or models that use the attention principle (Vaswani et al., 2017) to aggregate information across time Rußwurm et al., 2019; Rußwurm and Körner, 2020). Sainte Fare...
int layersToFreeze: int learningRate: int learningRateScheduler: 'string' maxSize: int minSize: int modelName: 'string' modelSize: 'string' momentum: int multiScale: bool nesterov: bool nmsIouThreshold: int numberOfEpochs: int numberOfWorkers: int optimizer: 'string' randomSeed:...
based on the detection of small tumor clusters (up to four tumor cells) at the invasive margin of the tumor; tumor deposits4, i.e., a discrete nodules of cancer in pericolic/perirectal fat or adjacent mesentery, based on the assessment of small tumor aggregates located in the adipose ti...
Altogether, these results seem to indicate that VMPFC aggregates complex confidence estimates over multiple layers of precursor variables. Two main lines of arguments motivated us to complement our first set of neuroimaging analyses focused on confidence signals with model-based assessments of value-...
int layersToFreeze: int learningRate: int learningRateScheduler: 'string' maxSize: int minSize: int modelName: 'string' modelSize: 'string' momentum: int multiScale: bool nesterov: bool nmsIouThreshold: int numberOfEpochs: int numberOfWorkers: int optimizer: 'string' randomSeed: int stepLR...
The HGC module consists of vertex convolution and hyperedge convolution, which are used to aggregate features between vertices and hyperedges respectively. The graph network is allowed to evolve itself by extracting features to mine new relationships, and dynamic hypergraph construction is achieved by ...
Interpreting CLIP: Insights on the Robustness to ImageNet Distribution Shifts content type paper | research area Computer Vision, research area Methods and Algorithms | Transactions on Machine Learning Research (TMLR)Published year 2025 AuthorsJonathan Crabbé, Pau Rodríguez, Vaishaal Shankar, Luca Zapp...