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Learning from few samples_by최영찬.pdfLearning From Few Samples: Transformation-Invariant SVMs with Composition and Locality at Multiple Scales
Learning From Few Samples: Transformation-Invariant SVMs with Composition and Locality at Multiple Scales
CRIS_by이고은.pdfCRIS: CLIP-Driven Referring Image Segmentation
CRIS: CLIP-Driven Referring Image Segmentation
Dynamic Head_by김보민.pdfDynamic Head: Unifying Object Detection Heads with Attentions
Dynamic Head: Unifying Object Detection Heads with Attentions
ResNext_seminar_by최창환.pdfAggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Craft_seminar_by신수종.pdfCharacter Region Awareness for Text Detection
Character Region Awareness for Text Detection
YOLOv1_by민재은.pdfYou Only Look Once: Unified, Real-Time Object Detection
You Only Look Once: Unified, Real-Time Object Detection
220819_GPT1_by박준영.pdfImproving Language Understanding by Generative Pre-Training
Improving Language Understanding by Generative Pre-Training
TAMS-RNN_by태민우.pdfTime-Aware Multi-Scale RNNs for Time Series Modeling
Time-Aware Multi-Scale RNNs for Time Series Modeling
Gaussian YOLO v3_by왕준기.pdfGaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving
Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving
SimCLRv1_by최영찬.pdfA Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
ResNet_seminar_by최창환.pdfDeep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Swin Transformer_by김보민.pdfSwin Transformer: Hierarchical Vision Transformer using Shifted Windows
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Megatron_by박준영.pdfMegatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
SANet_by이고은.pdfShallow Attention Network for Polyp Segmentation
Shallow Attention Network for Polyp Segmentation
EfficientNet_by신수종.pdfEfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
HiPPO_최영찬.pdfHiPPO: Recurrent Memory with Optimal Polynomial Projections
HiPPO: Recurrent Memory with Optimal Polynomial Projections
CoAtNet_seminar_by왕준기.pdfCoAtNet: Marrying Convolution and Attention for All Data Sizes
CoAtNet: Marrying Convolution and Attention for All Data Sizes
AlexNet_by민재은.pdfImageNet Classification with Deep Convolutional Neural Networks
ImageNet Classification with Deep Convolutional Neural Networks
Mesh Graphormer_by이정호.pdfMesh Graphormer
Mesh Graphormer
Attention-Based_Hybrid Network_by박준영.pdfAn Attention-Based Hybrid Network for Automatic Detection of Alzheimer’s Disease from Narrative Speech
An Attention-Based Hybrid Network for Automatic Detection of Alzheimer’s Disease from Narrative Speech
HrHRNet_by왕준기.pdfHigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation
PraNet_by이고은.pdfPraNet: Parallel Reverse Attention Network for Polyp Segmentation
PraNet: Parallel Reverse Attention Network for Polyp Segmentation
Time Series Data Augmentation for Deep Learning; A Survey_by태민우.pdfTime Series Data Augmentation for Deep Learning: A Survey
Time Series Data Augmentation for Deep Learning: A Survey
CBAM Seminar_by최영찬.pdfCBAM: Convolutional Block Attention Module
CBAM: Convolutional Block Attention Module
HRNet Seminar_by이정호.pdfDeep High-Resolution Representation Learning for Visual Recognition
Deep High-Resolution Representation Learning for Visual Recognition
220127_DialogBERT_Seminar_by박중영.pdfDialogBERT : Discourse Aware Response Generation via Learning to Recover and Rank Utterances
DialogBERT : Discourse Aware Response Generation via Learning to Recover and Rank Utterances
TransPose_review.pdfTransPose: Keypoint Localization via Transformer
TransPose: Keypoint Localization via Transformer
BoTNet.pdfBottleneck Transformers for visual Recognition
Bottleneck Transformers for visual Recognition
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