Seminar 2024
RepLKNet_by왕준기.pdfScaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs
Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs
Entropy_to_GAN_Loss_by최창환.pdfIntroduction to Entropy, CE, BCE and GAN Loss Function
Introduction to Entropy, CE, BCE and GAN Loss Function
Presenter: Chang-Hwan Choi (최창환)
Date: 9 April 2024
MAMBA_by이고은.pdf.pdfMamba: Linear-Time Sequence Modeling with Selective State Spaces
Mamba: Linear-Time Sequence Modeling with Selective State Spaces
IntrinsicDimension_by박준영.pdfMeasuring the Intrinsic Dimension of Objective Landscapes
Measuring the Intrinsic Dimension of Objective Landscapes
dgm_태민우.pdfDeep Generative Model
Deep Generative Model
Presenter: Min-Woo Tae (태민우)
Date: 18 April 2024
LDM_최영찬.pdfHigh-Resolution Image Synthesis with Latent Diffusion Models
High-Resolution Image Synthesis with Latent Diffusion Models
segmenter_by최민서.pdfSegmenter: Transformer for Semantic Segmentation
Segmenter: Transformer for Semantic Segmentation
ViT-Adapter_by양주열.pdfVision Transformer Adapter for Dense Predictions
Vision Transformer Adapter for Dense Predictions
CTT_by신수종.pdfContrastive Test-Time Adaptation
Contrastive Test-Time Adaptation
Metapolyp_by민재은.pdfMeta-Polyp: a baseline for efficient Polyp segmentation
Meta-Polyp: a baseline for efficient Polyp segmentation
ByteTrack_수정_by김세영.pdfByteTrack: Multi-Object Tracking by Associating Every Detection Box
ByteTrack: Multi-Object Tracking by Associating Every Detection Box
EQL-V2_by왕준기.pdfEqualization Loss v2: A New Gradient Balance Approach for Long-tailed Object Detection
Equalization Loss v2: A New Gradient Balance Approach for Long-tailed Object Detection
PGExplainer_by신수종.pdfParameterized Explainer for Graph Neural Network
Parameterized Explainer for Graph Neural Network
GhostT5_by박준영.pdfGhostT5: Generate More Features with Cheap Operations to Improve Textless Spoken Question Answering
GhostT5: Generate More Features with Cheap Operations to Improve Textless Spoken Question Answering
Mobrecon_by이정호.pdfMobRecon: Mobile-Friendly Hand Mesh Reconstruction from Monocular Image
MobRecon: Mobile-Friendly Hand Mesh Reconstruction from Monocular Image
self-training_by최창한.pdfRethinking Pre-training and Self-training
Rethinking Pre-training and Self-training