[diffusion model] Denoising Diffusion Probabilistic Models (Neurips 2020)
StyleT2I:Toward Compositional and High-Fidelity Text-to-Image Synthesis ( CVPR 2022 )
[GAN] WGAN(Wasserstein GAN) (2017)
[GAN]Conditional Generative Adversarial Nets( cGAN ) (2014)
DINO(Emerging Properties in Self-Supervised Vision Transformers)(Facebook AI Research, 2021)
[VQ-VAE] Neural Discrete Representation Learning
Denoising Pretraining for Semantic Segmentation (CVPR 2022)
Improving Image Restoration by Revisiting Global Information Aggregation (ECCV 2022)
Dual Super-Resolution Learning for Semantic Segmentation ( CVPR2020 ) (1)
Perceptual Variousness Motion Deblurring with Light Global Context Refinement ( ICCV 2021 ) (1)
When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach ( IJCAI 2018 ) (1)
HINet: Half Instance Normalization Network for Image Restoration( CVPR 2021 )
[ConvMixer] Patches Are All You Need?
Pay Less Attention with LightWeight and Dynamic Convolution
Non-Local Neural Networks(CVPR 2018)
CBAM: Convolutional Block Attention Module(ECCV 2018)
[SENet] Squeeze-and-Excitation Networks ( CVPR 2018 )
[KD]Solving ImageNet : a Unified Scheme for Training any Backbone to Top Results
Grad CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows (2021)
CLIP : Learning Transferable Visual Models From Natural Language Supervision (2021)
CGNet : : A Light-weight Context Guided Network for Semantic Segmentation (2020)
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation(2016)
UniMatch: Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation (CVPR 2023)
PS-MT : Perturbe and Strict Mean Teachers for Semi-supervised Semantic Segmentation
$U^2PL$ : Semi-supervised Semantic Segmentation Using Unreliable Pseudo Label ( CVPR 2022 )
DeepSORT(SIMPLE ONLINE AND REALTIME TRACKING WITH A DEEP ASSOCIATION METRIC)
SORT(Simple Online And Realtime Tracking)
A Style-Based Generator Architecture for Generative Adversarial Networks:StyleGAN
Unpaired Image-to-Image Translationusing Cycle-Consistent Adversarial Networks (CycleGAN)
SSD: Single Shot MultiBox Detector
SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization(CVPR 2020)
[Pix2Pix]Image-to-Image Translation with Conditional Adversarial Networks
Spatially Attentive Output Layer for Image Classification (SAOL)(CVPR 2020)
Class Activation Map(Learning Deep Features for Discriminative Localization) (CVPR2016)
Attention Branch Network: Learning of Attention Mechanism for Visual Explanation(ABN, CVPR2019)요약