Seminar 2024
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A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
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Class-Balanced Loss Based on Effective Number of Samples
Class-Balanced Loss Based on Effective Number of Samples
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Classifier-Free Diffusion Guidance
Classifier-Free Diffusion Guidance
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Adding Conditional Control to Text-to-Image Diffusion Models
Adding Conditional Control to Text-to-Image Diffusion Models
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YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
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Pose Estimation: CVPR 2023
Pose Estimation: CVPR 2023
Presenter: Jeong-Ho Lee (이정호)
Date: 30 May 2024
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YOLACT: Real-time Instance Segmentation
YOLACT: Real-time Instance Segmentation
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Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs
Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs
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Introduction 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
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Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Mamba: Linear-Time Sequence Modeling with Selective State Spaces
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Measuring the Intrinsic Dimension of Objective Landscapes
Measuring the Intrinsic Dimension of Objective Landscapes
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Deep Generative Model
Deep Generative Model
Presenter: Min-Woo Tae (태민우)
Date: 18 April 2024
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High-Resolution Image Synthesis with Latent Diffusion Models
High-Resolution Image Synthesis with Latent Diffusion Models
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Segmenter: Transformer for Semantic Segmentation
Segmenter: Transformer for Semantic Segmentation
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Vision Transformer Adapter for Dense Predictions
Vision Transformer Adapter for Dense Predictions
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Contrastive Test-Time Adaptation
Contrastive Test-Time Adaptation
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Meta-Polyp: a baseline for efficient Polyp segmentation
Meta-Polyp: a baseline for efficient Polyp segmentation
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ByteTrack: Multi-Object Tracking by Associating Every Detection Box
ByteTrack: Multi-Object Tracking by Associating Every Detection Box
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Equalization 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
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Parameterized Explainer for Graph Neural Network
Parameterized Explainer for Graph Neural Network
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GhostT5: 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
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MobRecon: Mobile-Friendly Hand Mesh Reconstruction from Monocular Image
MobRecon: Mobile-Friendly Hand Mesh Reconstruction from Monocular Image
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Rethinking Pre-training and Self-training
Rethinking Pre-training and Self-training