42 skills found · Page 1 of 2
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
zs-zhong / DJSRHThe code for Deep Joint-Semantics Reconstructing Hashing for Large-Scale Unsupervised Cross-Modal Retrieval (ICCV 2019)
liyunqianggyn / Deep Unsupervised Image HashingImplementation of accepted AAAI 2021 paper: Deep Unsupervised Image Hashing by Maximizing Bit Entropy
penghu-cs / UCCHUnsupervised Contrastive Cross-modal Hashing (IEEE TPAMI 2023, PyTorch Code)
PKU-ICST-MIPL / UGACH AAAI2018Source code of our AAAI 2018 paper "Unsupervised Generative Adversarial Cross-modal Hashing"
yangerkun / IJCAI2018 SSDHSemantic Structure-based Unsupervised Deep Hashing IJCAI2018
zexuanqiu / CIBHashsource code for paper "Unsupervised Hashing with Contrastive Information Bottleneck" published in IJCAI 2021
Atmegal / DGCPNDeep Graph-neighbor Coherence Preserving Network for Unsupervised Cross-modal Hashing
hly1998 / BRCDThe codes for Bit-mask Robust Contrastive Knowledge Distillation for Unsupervised Semantic Hashing (WWW2024)
Tree-Shu-Zhao / SSDH PyTorchSource code for paper "Semantic Structure-based Unsupervised Deep Hashing" on IJCAI-2018
xuyan1115 / Similarity Adaptive Deep HashingUnsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization (TPAMI2018)
CAS-CLab / K Nearest Neighbors HashingMatlab implementation of "K-Nearest Neighbors Hashing" (CVPR2019)
KaiserLew / JDSHJoint-modal Distribution-based Similarity Hashing for Large-scale Unsupervised Deep Cross-modal Retrieval
huhengtong / UKD CVPR2020The source code for the CVPR2020 paper "Creating Something from Nothing: Unsupervised Knowledge Distillation for Cross-Modal Hashing".
kamwoh / Sdc[BMVC 2023 (Oral)] Official pytorch implementation of the paper: "Unsupervised Hashing with Similarity Distribution Calibration"
XizeWu / CIRHSource codes of thie paper "Work Together: Correlation-Identity Reconstruction Hashing for Unsupervised Cross-modal Retrieval"
agrawal-priyank / Machine Learning Clustering RetrievalBuilt text and image clustering models using unsupervised machine learning algorithms such as nearest neighbors, k means, LDA , and used techniques such as expectation maximization, locality sensitive hashing, and gibbs sampling in Python
8uos / HashGAN PytorchA pytorch implementation of Unsupervised Deep Generative Adversarial Hashing Network, CVPR'18
youonly-once / HNHHigh-order nonlocal Hashing for unsupervised cross-modal retrieval
AwakerLee / CFRHCLIP-based Fusion-modal Reconstructing Hashing for Unsupervised Large-scale Cross-modal Retrieval
