Papers
Distance-Aware Quantization
Dohyung Kim, Junghyup Lee, Bumsub Ham
Distillation-Guided Image Inpainting
Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan
Distilling Global and Local Logits With Densely Connected Relations
Youmin Kim, Jinbae Park, YounHo Jang et al.
Distilling Holistic Knowledge With Graph Neural Networks
Sheng Zhou, Yucheng Wang, Defang Chen et al.
Distilling Optimal Neural Networks: Rapid Search in Diverse Spaces
Bert Moons, Parham Noorzad, Andrii Skliar et al.
Distilling Virtual Examples for Long-Tailed Recognition
Yin-Yin He, Jianxin Wu, Xiu-Shen Wei
Distinctiveness Oriented Positional Equilibrium for Point Cloud Registration
Taewon Min, Chonghyuk Song, Eunseok Kim et al.
Distributional Robustness Loss for Long-Tail Learning
Dvir Samuel, Gal Chechik
DisUnknown: Distilling Unknown Factors for Disentanglement Learning
Sitao Xiang, Yuming Gu, Pengda Xiang et al.
DivAug: Plug-In Automated Data Augmentation With Explicit Diversity Maximization
Zirui Liu, Haifeng Jin, Ting-Hsiang Wang et al.
Diverse Image Style Transfer via Invertible Cross-Space Mapping
Haibo Chen, Lei Zhao, Huiming Zhang et al.
Divide-and-Assemble: Learning Block-Wise Memory for Unsupervised Anomaly Detection
Jinlei Hou, Yingying Zhang, Qiaoyong Zhong et al.
Divide and Conquer for Single-Frame Temporal Action Localization
Chen Ju, Peisen Zhao, Siheng Chen et al.
Divide and Contrast: Self-Supervised Learning From Uncurated Data
Yonglong Tian, Olivier J. Hénaff, Aäron van den Oord
DnD: Dense Depth Estimation in Crowded Dynamic Indoor Scenes
Dongki Jung, Jaehoon Choi, Yonghan Lee et al.
DocFormer: End-to-End Transformer for Document Understanding
Srikar Appalaraju, Bhavan Jasani, Bhargava Urala Kota et al.
Do Different Deep Metric Learning Losses Lead to Similar Learned Features?
Konstantin Kobs, Michael Steininger, Andrzej Dulny et al.
Do Image Classifiers Generalize Across Time?
Vaishaal Shankar, Achal Dave, Rebecca Roelofs et al.
DOLG: Single-Stage Image Retrieval With Deep Orthogonal Fusion of Local and Global Features
Min Yang, Dongliang He, Miao Fan et al.
Domain Adaptive Semantic Segmentation With Self-Supervised Depth Estimation
Qin Wang, Dengxin Dai, Lukas Hoyer et al.
Domain Adaptive Video Segmentation via Temporal Consistency Regularization
Dayan Guan, Jiaxing Huang, Aoran Xiao et al.
Domain-Aware Universal Style Transfer
Kibeom Hong, Seogkyu Jeon, Huan Yang et al.
Domain Generalization via Gradient Surgery
Lucas Mansilla, Rodrigo Echeveste, Diego H. Milone et al.
Domain-Invariant Disentangled Network for Generalizable Object Detection
Chuang Lin, Zehuan Yuan, Sicheng Zhao et al.
DRAEM - A Discriminatively Trained Reconstruction Embedding for Surface Anomaly Detection
Vitjan Zavrtanik, Matej Kristan, Danijel Skočaj