convolutional neural network

Tightening Robustness Verification of Convolutional Neural Networks with Fine-Grained Linear Approximation AAAI 2021 Time Delay Estimation for Speaker Localization Using CNN-Based Parametrized GCC-PHAT Features Interspeech 2021 To the Point: Efficient 3D Object Detection in the Range Image With Graph Convolution Kernels CVPR 2021 Towards Better Explanations of Class Activation Mapping ICCV 2021 Towards Compact CNNs via Collaborative Compression CVPR 2021 Towards Compact Single Image Super-Resolution via Contrastive Self-distillation IJCAI 2021 Towards Domain Invariant Single Image Dehazing AAAI 2021 Towards Efficient Tensor Decomposition-Based DNN Model Compression With Optimization Framework CVPR 2021 Towards Fast and Accurate Real-World Depth Super-Resolution: Benchmark Dataset and Baseline CVPR 2021 Towards Flexible Blind JPEG Artifacts Removal ICCV 2021 Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs ICLR 2021 Training Spiking Neural Networks with Accumulated Spiking Flow AAAI 2021 Transfer Learning and Data Augmentation Techniques to the COVID-19 Identification Tasks in ComParE 2021 Interspeech 2021 Transformer-Based Attention Networks for Continuous Pixel-Wise Prediction ICCV 2021 Tripartite Information Mining and Integration for Image Matting ICCV 2021 Truly Shift-Invariant Convolutional Neural Networks CVPR 2021 Two-Hand Global 3D Pose Estimation Using Monocular RGB WACV 2021 UASNet: Uncertainty Adaptive Sampling Network for Deep Stereo Matching ICCV 2021 Ultra-High-Definition Image Dehazing via Multi-Guided Bilateral Learning CVPR 2021 Uncertainty Quantification in CNN Through the Bootstrap of Convex Neural Networks AAAI 2021 Understanding Adaptive, Multiscale Temporal Integration In Deep Speech Recognition Systems NeurIPS 2021 Understanding and Simplifying Perceptual Distances CVPR 2021 Understanding and Visualizing Generalization in UNets MIDL 2021 Understanding Robustness of Transformers for Image Classification ICCV 2021 Understanding the Impact of Mistakes on Background Regions in Crowd Counting WACV 2021