Model Architecture

Deep Residual Learning in Spiking Neural Networks NeurIPS 2021 Deep Spiking Neural Network with Neural Oscillation and Spike-Phase Information AAAI 2021 DeFLOCNet: Deep Image Editing via Flexible Low-Level Controls CVPR 2021 Deformable Butterfly: A Highly Structured and Sparse Linear Transform NeurIPS 2021 Deformable DETR: Deformable Transformers for End-to-End Object Detection ICLR 2021 Dense Interaction Learning for Video-Based Person Re-Identification ICCV 2021 DG-Font: Deformable Generative Networks for Unsupervised Font Generation CVPR 2021 DiagViB-6: A Diagnostic Benchmark Suite for Vision Models in the Presence of Shortcut and Generalization Opportunities ICCV 2021 Differentiable Convolution Search for Point Cloud Processing ICCV 2021 Differentiable Dynamic Wirings for Neural Networks ICCV 2021 Differentiable Optimization of Generalized Nondecomposable Functions using Linear Programs NeurIPS 2021 Differentiable Patch Selection for Image Recognition CVPR 2021 Differentiable Trust Region Layers for Deep Reinforcement Learning ICLR 2021 DINO: A Conditional Energy-Based GAN for Domain Translation ICLR 2021 Directed Acyclic Graph Neural Networks ICLR 2021 DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for Deep Neural Networks CVPR 2021 Discovering Dynamic Salient Regions for Spatio-Temporal Graph Neural Networks NeurIPS 2021 Discovering Interpretable Latent Space Directions of GANs Beyond Binary Attributes CVPR 2021 Discrete-Valued Neural Communication NeurIPS 2021 Dissecting Image Crops ICCV 2021 Dissecting the Diffusion Process in Linear Graph Convolutional Networks NeurIPS 2021 Distiller: A Systematic Study of Model Distillation Methods in Natural Language Processing EMNLP 2021 Distilling Object Detectors with Feature Richness NeurIPS 2021 Distribution Adaptive INT8 Quantization for Training CNNs AAAI 2021 Distribution Alignment: A Unified Framework for Long-Tail Visual Recognition CVPR 2021