_ | atrous | _ |
3-D | atrous | Convolution Neural Network for Hyperspectral Image Denoising, A |
A*: | atrous | Spatial Temporal Action Recognition for Real Time Applications |
A2SPPNet: Attentive | atrous | Spatial Pyramid Pooling Network for Salient Object Detection |
AAP-MIT: Attentive | atrous | Pyramid Network and Memory Incorporated Transformer for Multisentence Video Description |
ACCLVOS: | atrous | Convolution with Spatial-Temporal ConvLSTM for Video Object Segmentation |
Addressing overfitting on point cloud classification using | atrous | XCRF |
Animal Migration Patterns Extraction Based on | atrous | -Gated CNN Deep Learning Model |
ASPP-DF-PVNet: | atrous | Spatial Pyramid Pooling and Distance-Filtered PVNet for occlusion resistant 6D object pose estimation |
| atrous | Temporal Convolutional Network for Video Action Segmentation |
BLAST-NET: Semantic Segmentation of Human Blastocyst Components via Cascaded | atrous | Pyramid and Dense Progressive Upsampling |
Blind Non-Uniform Motion Deblurring using | atrous | Spatial Pyramid Deformable Convolution and Deblurring-Reblurring Consistency |
CAA-Net: Conditional | atrous | CNNs With Attention for Explainable Device-Robust Acoustic Scene Classification |
Cascaded hierarchical | atrous | spatial pyramid pooling module for semantic segmentation |
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, | atrous | Convolution, and Fully Connected CRFs |
Dense Semantic Labeling with | atrous | Spatial Pyramid Pooling and Decoder for High-Resolution Remote Sensing Imagery |
DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable | atrous | Convolution |
EDAfuse: A encoder-decoder with | atrous | spatial pyramid network for infrared and visible image fusion |
Efficient Solution for Semantic Segmentation: ShuffleNet V2 with | atrous | Separable Convolutions, An |
Encoder-Decoder with | atrous | Separable Convolution for Semantic Image Segmentation |
GRANet: Global Refinement | atrous | Convolutional Neural Network for Semantic Scene Segmentation |
Integrating Normal Vector Features into an | atrous | Convolution Residual Network for LiDAR Point Cloud Classification |
Land Cover Segmentation of Airborne LiDAR Data Using Stochastic | atrous | Network |
Light Field Image Quality Assessment with Dense | atrous | Convolutions |
Maanu-Net: Multi-Level Attention and | atrous | Pyramid Nested U-Net for Wrecked Objects Segmentation in Forward-Looking Sonar Images |
MACNet: Multi-scale | atrous | Convolution Networks for Food Places Classification in Egocentric Photo-Streams |
MRANet: Multi- | atrous | residual attention Network for stereo image super-resolution |
Multi-task Contextual | atrous | Residual Network for Brain Tumor Detection Segmentation, A |
Pseudo-Siamese residual | atrous | pyramid network for multi-focus image fusion |
RAFM: Recurrent | atrous | Feature Modulation for Accurate Monocular Depth Estimating |
RAPNet: Residual | atrous | Pyramid Network for Importance-Aware Street Scene Parsing |
Recursive residual | atrous | spatial pyramid pooling network for single image deraining |
Road Extraction by Using | atrous | Spatial Pyramid Pooling Integrated Encoder-Decoder Network and Structural Similarity Loss |
SACNet: Shuffling | atrous | convolutional U-Net for medical image segmentation |
SAtUNet: Series | atrous | convolution enhanced U-Net for lung nodule segmentation |
Segmentation of Intracranial Aneurysm Remnant in MRA using Dual-Attention | atrous | Net |
Semantic Labeling in Remote Sensing Corpora Using Feature Fusion-Based Enhanced Global Convolutional Network with High-Resolution Representations and Depthwise | atrous | Convolution |
Single Image Defocus Deblurring Using Kernel-Sharing Parallel | atrous | Convolutions |
Skin lesion segmentation based on mask RCNN, Multi | atrous | Full-CNN, and a geodesic method |
SpaceMeshLab: Spatial Context Memoization and Meshgrid | atrous | Convolution Consensus for Semantic Segmentation |
TextSRNet: Scene Text Super-Resolution Based on Contour Prior and | atrous | Convolution |
TrouSPI-Net: Spatio-temporal attention on parallel | atrous | convolutions and U-GRUs for skeletal pedestrian crossing prediction |
W-A net: Leveraging | atrous | and Deformable Convolutions for Efficient Text Detection |
42 for atrous