Deep Image Harmonization
Deep Image Harmonization Yi-Hsuan Tsai, et al. “Deep Image Harmonization” Computer Vision and Pattern Recognition 2017
Deep Image Harmonization Yi-Hsuan Tsai, et al. “Deep Image Harmonization” Computer Vision and Pattern Recognition 2017
RandAugment: Practical automated data augmentation with a reduced search space Ekin D. Cubuk, et al. “RandAugment: Practical automated data augmentation w...
AutoAugment: Learning Augmentation Strategies from Data Ekin D. Cubuk, et al. “AutoAugment: Learning Augmentation Strategies from Data” Computer Vision an...
PointFlow: Flowing Semantics Through Points for Aerial Image Segmentation Xiangtai Li, et al. “PointFlow: Flowing Semantics Through Points for Aerial Imag...
CAD-Net: A Context-Aware Detection Network for Objects in Remote Sensing Imagery Gongjie Zhang, et al. “CAD-Net: A Context-Aware Detection Network for Obj...
Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation Elad Richardson, et al. “Encoding in Style: a StyleGAN Encoder for Image-to-Image Tra...
RELGAN: RELATIONAL GENERATIVE ADVERSARIAL NETWORKS FOR TEXT GENERATION Weili Nie, et al. “RELGAN: RELATIONAL GENERATIVE ADVERSARIAL NETWORKS FOR TEXT GENE...
Learning from Noisy Anchors for One-stage Object Detection Hengduo Li, et al. “Learning from Noisy Anchors for One-stage Object Detection” Learning fro...
Return of the Devil in the Details: Delving Deep into Convolutional Nets Ken Chatfield, et al. “Return of the Devil in the Details: Delving Deep into Conv...
CLCC: Contrastive Learning for Color Constancy Yi-Chen Lo, et al. “CLCC: Contrastive Learning for Color Constancy” CVPR2021
NOISE OR SIGNAL: THE ROLE OF IMAGE BACKGROUNDS IN OBJECT RECOGNITION Kai Xiao, et al. “NOISE OR SIGNAL: THE ROLE OF IMAGE BACKGROUNDS IN OBJECT RECOGNITIO...
A survey on Image Data Augmentation for Deep Learning Connor Shorten, et al. “A survey on Image Data Augmentation for Deep Learning”
PROGRESSIVE GROWING OF GANS FOR IMPROVED QUALITY, STABILITY, AND VARIATION
Playable Video Generation Willi Menapace, et al. [“Playable Video Generation”]https://arxiv.org/abs/2101.12195) Computer Vision and Pattern Recognition
RaScaNet: Learning Tiny Models by Raster-Scanning Images Yang Liu, et al. “RaScaNet: Learning Tiny Models by Raster-Scanning Images” Computer Vision and P...
Relevance-CAM: Your Model Already Knows Where to Look Jeong Ryong Lee, et al. “Relevance-CAM: Your Model Already Knows Where to Look” Computer Vision and ...
KeepAugment: A Simple Information-Preserving Data Augmentation Approach Chengyue Gong, et al. “KeepAugment: A Simple Information-Preserving Data Augmentat...
ReMix: Towards Image-to-Image Translation with Limited Data Jie Cao, et al. “ReMix: Towards Image-to-Image Translation with Limited Data” Computer Vision ...
HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms Mahmoud Afif, et al. “HistoGAN: Controlling Colors of GAN-Generated and...
Invertible Denoising Network: A Light Solution for Real Noise Removal Yang Liu, et al. “Invertible Denoising Network: A Light Solution for Real Noise Remo...
SuperMix: Supervising the Mixing Data Augmentation Ali Dabouei, et al. “SuperMix: Supervising the Mixing Data Augmentation” Computer Vision and Pattern Re...
Quality-Agnostic Image Recognition via Invertible Decoder Insoo Kim, et al. “Quality-Agnostic Image Recognition via Invertible Decoder” Computer Vision an...
IIRC: Incremental Implicitly-Refined Classification Mohamed Abdelsalam, et al. “IIRC: Incremental Implicitly-Refined Classification” Computer Vision and P...
EXTENDING CONDITIONAL CONVOLUTION STRUCTURES FOR ENHANCING MULTITASKING CONTINUAL LEARNING Cheng-Hao Tu, et al. “EXTENDING CONDITIONAL CONVOLUTION STRUCTU...
DER: Dynamically Expandable Representation for Class Incremental Learning Shipeng Yan, et al. “DER: Dynamically Expandable Representation for Class Increm...
CondConv: Conditionally Parameterized Convolutions for Efficient Inference Brandon Yang, et al. “CondConv: Conditionally Parameterized Convolutions for Ef...
Real world Anomaly Detection in Surveillance Video Waqas Sultani, et al. “Real world Anomaly Detection in Surveillance Video” Computer Vision and Pattern ...
BigGAN Andrew Brock, et al. “Large Scale GAN Training for High Fidelity Natural Image Synthesis” Computer Vision and Pattern Recognition
ArcFace Jiankang Deng, et al. “ArcFace: Additive Angular Margin Loss for Deep Face Recognition” Computer Vision and Pattern Recognition
RetinaFace Jiankang Deng, et al. “RetinaFace: Single-stage Dense Face Localisation in the Wild” Computer Vision and Pattern Recognition
AdaIN Xun Huang, et al. “Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization.” Proceedings of the IEEE International Conference on ...
Mask R-CNN Kaiming He, et al. “Mask R-CNN.” Proceedings of the IEEE International Conference on Computer Vision (ICCV)2017.
Rich feature hierarchies for accurate object detection and semantic segmentation Ross Girshick, et al. “Rich feature hierarchies for accurate object detec...
Aggregated Residual Transformations for Deep Neural Networks Saining Xie, Kaiming He, et al. “Aggregated Residual Transformations for Deep Neural Networks...
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan, Andrew Zisserman. “Very Deep Convolutional Networks for Large-Scale Ima...
How transferable are features in deep neuralnetworks? Jason Yosinski, et al. “How transferable are features in deep neuralnetworks?”. 2014.
Deep Residual Learning for Image Recognition Kaiming He, et al. “Deep Residual Learning for Image Recognition.” Proceedings of the IEEE conference on comp...
Pyramid Scene Parsing Network Hengshuang Zhao, et al. “Pyramid Scene Parsing Network” Proceedings of the IEEE Conference on Computer Vision and Pattern Re...
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs Liang-Chieh Chen, et al. “DeepLab: Semanti...