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Neural Networks

11,300 papers

Papers per year

Papers

FreMIM: Fourier Transform Meets Masked Image Modeling for Medical Image Segmentation WACV 2024
CGAPoseNet+GCAN: A Geometric Clifford Algebra Network for Geometry-Aware Camera Pose Regression WACV 2024
Adaptive Deep Neural Network Inference Optimization With EENet WACV 2024
RPCANet: Deep Unfolding RPCA Based Infrared Small Target Detection WACV 2024
Learning To Compose SuperWeights for Neural Parameter Allocation Search WACV 2024
USDN: A Unified Sample-Wise Dynamic Network With Mixed-Precision and Early-Exit WACV 2024
HDMNet: A Hierarchical Matching Network With Double Attention for Large-Scale Outdoor LiDAR Point Cloud Registration WACV 2024
Scale-Adaptive Feature Aggregation for Efficient Space-Time Video Super-Resolution WACV 2024
FishTrack23: An Ensemble Underwater Dataset for Multi-Object Tracking WACV 2024
Reducing the Side-Effects of Oscillations in Training of Quantized YOLO Networks WACV 2024
Increasing Biases Can Be More Efficient Than Increasing Weights WACV 2024
OVeNet: Offset Vector Network for Semantic Segmentation WACV 2024
Spiking Neural Networks for Active Time-Resolved SPAD Imaging WACV 2024
StyleGenes: Discrete and Efficient Latent Distributions for GANs WACV 2024
PMVC: Promoting Multi-View Consistency for 3D Scene Reconstruction WACV 2024
Deep Visual-Genetic Biometrics for Taxonomic Classification of Rare Species WACV 2024
Spatio-Temporal Filter Analysis Improves 3D-CNN for Action Classification WACV 2024
HAMMER: Learning Entropy Maps To Create Accurate 3D Models in Multi-View Stereo WACV 2024
WaveMixSR: Resource-Efficient Neural Network for Image Super-Resolution WACV 2024
Re-VoxelDet: Rethinking Neck and Head Architectures for High-Performance Voxel-Based 3D Detection WACV 2024
Layer-Wise Auto-Weighting for Non-Stationary Test-Time Adaptation WACV 2024
Torque Based Structured Pruning for Deep Neural Network WACV 2024
Deep Image Fingerprint: Towards Low Budget Synthetic Image Detection and Model Lineage Analysis WACV 2024
HALSIE: Hybrid Approach to Learning Segmentation by Simultaneously Exploiting Image and Event Modalities WACV 2024
DR10K: Transfer Learning Using Weak Labels for Grading Diabetic Retinopathy on DR10K Dataset WACV 2024