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

Latent-OFER: Detect, Mask, and Reconstruct with Latent Vectors for Occluded Facial Expression Recognition ICCV 2023
Harmonious Feature Learning for Interactive Hand-Object Pose Estimation CVPR 2023
ParCNetV2: Oversized Kernel with Enhanced Attention ICCV 2023
Emergence of Shape Bias in Convolutional Neural Networks through Activation Sparsity NIPS 2023
Leaping Into Memories: Space-Time Deep Feature Synthesis ICCV 2023
Theoretical Analysis of the Inductive Biases in Deep Convolutional Networks NIPS 2023
Towards Improved Input Masking for Convolutional Neural Networks ICCV 2023
PADDLES: Phase-Amplitude Spectrum Disentangled Early Stopping for Learning with Noisy Labels ICCV 2023
SAFE: Sensitivity-Aware Features for Out-of-Distribution Object Detection ICCV 2023
Deconstructing Data Reconstruction: Multiclass, Weight Decay and General Losses NIPS 2023
Self-Supervised Monocular Depth Estimation by Direction-aware Cumulative Convolution Network ICCV 2023
Probing Sentiment-Oriented Pre-Training Inspired by Human Sentiment Perception Mechanism CVPR 2023
Robust Real-World Image Enhancement Based on Multi-Exposure LDR Images WACV 2023
FemtoDet: An Object Detection Baseline for Energy Versus Performance Tradeoffs ICCV 2023
Using Ensemble Learning in Language Variety Identification EACL 2023
BSpell: A CNN-Blended BERT Based Bangla Spell Checker EMNLP 2023
Robust Mixture-of-Expert Training for Convolutional Neural Networks ICCV 2023
Sparsity Agnostic Depth Completion WACV 2023
Mapping Degeneration Meets Label Evolution: Learning Infrared Small Target Detection With Single Point Supervision CVPR 2023
Topological Convolutional Layers for Deep Learning JMLR 2023
A Protocol for Evaluating Model Interpretation Methods From Visual Explanations WACV 2023
The Fully Convolutional Transformer for Medical Image Segmentation WACV 2023
Deep Learning Methodology for Early Detection and Outbreak Prediction of Invasive Species Growth WACV 2023
Balanced Mixture of Supernets for Learning the CNN Pooling Architecture AUTOML 2023
Semantic Segmentation of Degraded Images Using Layer-Wise Feature Adjustor WACV 2023