DINO reaches 51.3 AP on COCO val2017 with a ResNet-50 backbone after 24 epochs, a +2.7 AP gain over the prior best DETR variant.
Swin transformer: Hierarchical vision transformer using shifted windows
3 Pith papers cite this work. Polarity classification is still indexing.
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CPIFNet decomposes non-homogeneous dehazing into multiple homogeneous sub-problems via specialized IENet branches trained on different haze concentrations, then uses IFNet to fuse advantageous regions through deep feature merging.
RDCNet reports state-of-the-art accuracy on CIFAR-10, CIFAR-100, SVHN, Imagenette, and Imagewoof by combining random dilated convolutions with multi-branch and attention modules.
citing papers explorer
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DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection
DINO reaches 51.3 AP on COCO val2017 with a ResNet-50 backbone after 24 epochs, a +2.7 AP gain over the prior best DETR variant.
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Multi-Branch Non-Homogeneous Image Dehazing via Concentration Partitioning and Image Fusion
CPIFNet decomposes non-homogeneous dehazing into multiple homogeneous sub-problems via specialized IENet branches trained on different haze concentrations, then uses IFNet to fuse advantageous regions through deep feature merging.
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Image Classification via Random Dilated Convolution with Multi-Branch Feature Extraction and Context Excitation
RDCNet reports state-of-the-art accuracy on CIFAR-10, CIFAR-100, SVHN, Imagenette, and Imagewoof by combining random dilated convolutions with multi-branch and attention modules.