65 skills found · Page 1 of 3
twhui / LiteFlowNetLiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation, CVPR 2018 (Spotlight paper, 6.6%)
jeeliz / JeelizARJavaScript object detection lightweight library for augmented reality (WebXR demos included). It uses convolutional neural networks running on the GPU with WebGL.
poweic / LibdnnA lightweight and user friendly C++ library for deep and convolutional neural network with GPU acceleration
emadeldeen24 / TSLANet[ICML 2024] A novel, efficient lightweight approach combining convolutional operations with adaptive spectral analysis as a foundation model for different time series tasks
inferenceengine / ShadernnShaderNN is a lightweight deep learning inference framework optimized for Convolutional Neural Networks on mobile platforms.
USTCPCS / CVPR2018 AttentionContext Encoding for Semantic Segmentation MegaDepth: Learning Single-View Depth Prediction from Internet Photos LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume On the Robustness of Semantic Segmentation Models to Adversarial Attacks SPLATNet: Sparse Lattice Networks for Point Cloud Processing Left-Right Comparative Recurrent Model for Stereo Matching Enhancing the Spatial Resolution of Stereo Images using a Parallax Prior Unsupervised CCA Discovering Point Lights with Intensity Distance Fields CBMV: A Coalesced Bidirectional Matching Volume for Disparity Estimation Learning a Discriminative Feature Network for Semantic Segmentation Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi- Supervised Semantic Segmentation Unsupervised Deep Generative Adversarial Hashing Network Monocular Relative Depth Perception with Web Stereo Data Supervision Single Image Reflection Separation with Perceptual Losses Zoom and Learn: Generalizing Deep Stereo Matching to Novel Domains EPINET: A Fully-Convolutional Neural Network for Light Field Depth Estimation by Using Epipolar Geometry FoldingNet: Interpretable Unsupervised Learning on 3D Point Clouds Decorrelated Batch Normalization Unsupervised Learning of Depth and Egomotion from Monocular Video Using 3D Geometric Constraints PU-Net: Point Cloud Upsampling Network Real-Time Monocular Depth Estimation using Synthetic Data with Domain Adaptation via Image Style Transfer Tell Me Where To Look: Guided Attention Inference Network Residual Dense Network for Image Super-Resolution Reflection Removal for Large-Scale 3D Point Clouds PlaneNet: Piece-wise Planar Reconstruction from a Single RGB Image Fully Convolutional Adaptation Networks for Semantic Segmentation CRRN: Multi-Scale Guided Concurrent Reflection Removal Network DenseASPP: Densely Connected Networks for Semantic Segmentation SGAN: An Alternative Training of Generative Adversarial Networks Multi-Agent Diverse Generative Adversarial Networks Robust Depth Estimation from Auto Bracketed Images AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation DeepMVS: Learning Multi-View Stereopsis GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose GeoNet: Geometric Neural Network for Joint Depth and Surface Normal Estimation Single-Image Depth Estimation Based on Fourier Domain Analysis Single View Stereo Matching Pyramid Stereo Matching Network A Unifying Contrast Maximization Framework for Event Cameras, with Applications to Motion, Depth, and Optical Flow Estimation Image Correction via Deep Reciprocating HDR Transformation Occlusion Aware Unsupervised Learning of Optical Flow PAD-Net: Multi-Tasks Guided Prediciton-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing Surface Networks Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation TextureGAN: Controlling Deep Image Synthesis with Texture Patches Aperture Supervision for Monocular Depth Estimation Two-Stream Convolutional Networks for Dynamic Texture Synthesis Unsupervised Learning of Single View Depth Estimation and Visual Odometry with Deep Feature Reconstruction Left/Right Asymmetric Layer Skippable Networks Learning to See in the Dark
gasparian / CRNN OCR LiteLightweight CRNN for OCR (including handwritten text) with depthwise separable convolutions and spatial transformer module [keras+tf]
TropComplique / Shufflenet V2 TensorflowA lightweight convolutional neural network
aask1357 / HilcodecHigh fidelity, lightweight, end-to-end, streaming, convolution-based neural audio codec
Aitical / SCNet[MIR 24] Fully 1x1 Convolutional Network for Lightweight Image Super-Resolution
AryaAftab / LIGHT SERNETLight-SERNet: A lightweight fully convolutional neural network for speech emotion recognition
Nandan91 / ULSAMULSAM: Ultra-Lightweight Subspace Attention Module for Compact Convolutional Neural Networks
eleGAN23 / HyperNetsHypercomplex Neural Networks with PyTorch
pms67 / PiCNNSingle-header, lightweight convolutional neural network library written in C++ for Raspberry Pis.
Shaw-git / Lightweight Head Pose EstimationCode for TMM 2022 "Accurate Head Pose Estimation Using Image Rectification and Lightweight Convolutional Neural Network"
snudm-starlab / FALCON2Falcon: Lightweight and Accurate Convolution Based on Depthwise Separable Convolution (KAIS)
chrisdonahue / Ddc OnsetMusic onset detector from Dance Dance Convolution packaged as a lightweight PyTorch module
scp19801980 / Remote Sensing Scene ClassificationFor the remote sensing scene classification task in complex background, we proposed a lightweight convolutional neural network with bilinear feature extraction structure. The idea of branch feature fusion was proposed to fuse the extracted features of different branches.
OrangeP0P / EEGProgressA fast and lightweight progressive convolution architecture for EEG signal
santoshpanda1995 / LightweightGCN ModelA very fast and lightweight model based on graph convolutional network (GCN) for Low Light Image Enhancement (LLIE)
