conftrace_

convolutional neural network

4226 papers

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Also known as

CNN CONVNET

Co-occurring keywords

image classification (1944) object detection (2762) semantic segmentation (3186) attention mechanism (4001) model compression (3302) recurrent neural network (1790) text classification (6793) feature extraction (1580) feature learning (1311) representation learning (6206)

Papers

B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable NIPS 2024
Segment, Shuffle, and Stitch: A Simple Layer for Improving Time-Series Representations NIPS 2024
Generalizing CNNs to graphs with learnable neighborhood quantization NIPS 2024
Learning symmetries via weight-sharing with doubly stochastic tensors NIPS 2024
AsCAN: Asymmetric Convolution-Attention Networks for Efficient Recognition and Generation NIPS 2024
NeSyFOLD: A Framework for Interpretable Image Classification AAAI 2024
Keep the Faith: Faithful Explanations in Convolutional Neural Networks for Case-Based Reasoning AAAI 2024
Sketch and Refine: Towards Fast and Accurate Lane Detection AAAI 2024
A Multimodal Framework for the Assessment of the Schizophrenia Spectrum INTERSPEECH 2024
Combinatorial CNN-Transformer Learning with Manifold Constraints for Semi-supervised Medical Image Segmentation AAAI 2024
BiVocoder: A Bidirectional Neural Vocoder Integrating Feature Extraction and Waveform Generation INTERSPEECH 2024
Torque Based Structured Pruning for Deep Neural Network WACV 2024
Linking Convolutional Kernel Size to Generalization Bias in Face Analysis CNNs WACV 2024
Upping the Game: How 2D U-Net Skip Connections Flip 3D Segmentation NIPS 2024
Hold Me Tight: Stable Encoder-Decoder Design for Speech Enhancement INTERSPEECH 2024
Rolling-Unet: Revitalizing MLP’s Ability to Efficiently Extract Long-Distance Dependencies for Medical Image Segmentation AAAI 2024
On the Importance of Large Objects in CNN Based Object Detection Algorithms WACV 2024
Booster-SHOT: Boosting Stacked Homography Transformations for Multiview Pedestrian Detection With Attention WACV 2024
Learning to Read Analog Gauges from Synthetic Data WACV 2024
Masking Improves Contrastive Self-Supervised Learning for ConvNets, and Saliency Tells You Where WACV 2024
PHG-Net: Persistent Homology Guided Medical Image Classification WACV 2024
Few-Shot Shape Recognition by Learning Deep Shape-Aware Features WACV 2024
Enhancing Healthcare Predictions with Deep Learning Models AAAI 2024
Deep Image Fingerprint: Towards Low Budget Synthetic Image Detection and Model Lineage Analysis WACV 2024
Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation IJCAI 2024