On the public citation graph

Structural and Statistical Texture Knowledge Distillation for Semantic Segmentation

https://doi.org/10.1109/cvpr52688.2022.01637

0 signed · 123 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.

Claim with ORCID

Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.

See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/0471221325openalex-snapshot

Digital Image Processing

inferredcites →https://doi.org/10.1007/11559573_5openalex-snapshot

Unsupervised Image Segmentation Using Contourlet Domain Hidden Markov Trees Model

inferredcites →https://doi.org/10.1007/978-3-030-01219-9_25openalex-snapshot

ICNet for Real-Time Semantic Segmentation on High-Resolution Images

inferredcites →https://doi.org/10.1007/978-3-030-01234-2_49openalex-snapshot

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

inferredcites →https://doi.org/10.1007/978-3-030-01240-3_17openalex-snapshot

PSANet: Point-wise Spatial Attention Network for Scene Parsing

inferredcites →https://doi.org/10.1007/978-3-030-58520-4_1openalex-snapshot

Class-Wise Dynamic Graph Convolution for Semantic Segmentation

inferredcites →https://doi.org/10.1007/978-3-030-58539-6_11openalex-snapshot

Object-Contextual Representations for Semantic Segmentation

inferredcites →https://doi.org/10.1007/978-3-030-58571-6_21openalex-snapshot

Intra-class Feature Variation Distillation for Semantic Segmentation

inferredcites →https://doi.org/10.1007/s11263-009-0275-4openalex-snapshot

The Pascal Visual Object Classes (VOC) Challenge

inferredcites →https://doi.org/10.1016/j.patrec.2016.08.016openalex-snapshot

Using filter banks in Convolutional Neural Networks for texture classification

inferredcites →https://doi.org/10.1016/s0734-189x(87)80186-xopenalex-snapshot

Adaptive histogram equalization and its variations

inferredcites →https://doi.org/10.1080/net.12.3.371.393openalex-snapshot

Can recent innovations in harmonic analysis `explain' key findings in natural image statistics?

inferredcites →https://doi.org/10.1109/78.127960openalex-snapshot

A filter bank for the directional decomposition of images: theory and design

inferredcites →https://doi.org/10.1109/cvpr.2004.1315232openalex-snapshot

Multiscale conditional random fields for image labeling

inferredcites →https://doi.org/10.1109/cvpr.2015.7298959openalex-snapshot

Feedforward semantic segmentation with zoom-out features

inferredcites →https://doi.org/10.1109/cvpr.2015.7298965openalex-snapshot

Fully convolutional networks for semantic segmentation

inferredcites →https://doi.org/10.1109/cvpr.2015.7299007openalex-snapshot

Deep filter banks for texture recognition and segmentation

inferredcites →https://doi.org/10.1109/cvpr.2016.350openalex-snapshot

The Cityscapes Dataset for Semantic Urban Scene Understanding

inferredcites →https://doi.org/10.1109/cvpr.2016.396openalex-snapshot

Attention to Scale: Scale-Aware Semantic Image Segmentation

inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot

Deep Residual Learning for Image Recognition

inferredcites →https://doi.org/10.1109/cvpr.2017.549openalex-snapshot

RefineNet: Multi-path Refinement Networks for High-Resolution Semantic Segmentation

inferredcites →https://doi.org/10.1109/cvpr.2017.660openalex-snapshot

Pyramid Scene Parsing Network

inferredcites →https://doi.org/10.1109/cvpr.2018.00388openalex-snapshot

DenseASPP for Semantic Segmentation in Street Scenes

inferredcites →https://doi.org/10.1109/cvpr.2019.00067openalex-snapshot

Knowledge Adaptation for Efficient Semantic Segmentation

inferredcites →https://doi.org/10.1109/cvpr.2019.00271openalex-snapshot

Structured Knowledge Distillation for Semantic Segmentation

inferredcites →https://doi.org/10.1109/cvpr.2019.00326openalex-snapshot

Dual Attention Network for Scene Segmentation

inferredcites →https://doi.org/10.1109/cvpr42600.2020.00982openalex-snapshot

PointRend: Image Segmentation As Rendering

inferredcites →https://doi.org/10.1109/cvpr46437.2021.01235openalex-snapshot

Learning Statistical Texture for Semantic Segmentation

inferredcites →https://doi.org/10.1109/iccv.2009.5459248openalex-snapshot

Associative hierarchical CRFs for object class image segmentation

inferredcites →https://doi.org/10.1109/iccv48922.2021.00526openalex-snapshot

Channel-wise Knowledge Distillation for Dense Prediction

inferredcites →https://doi.org/10.1109/icip.2002.1038034openalex-snapshot

Contourlets: a directional multiresolution image representation

inferredcites →https://doi.org/10.1109/tcom.1983.1095851openalex-snapshot

The Laplacian Pyramid as a Compact Image Code

inferredcites →https://doi.org/10.1109/tip.2005.859376openalex-snapshot

The contourlet transform: an efficient directional multiresolution image representation

inferredcites →https://doi.org/10.1109/tnnls.2020.3007412openalex-snapshot

C-CNN: Contourlet Convolutional Neural Networks

inferredcites →https://doi.org/10.1109/tpami.2012.231openalex-snapshot

Learning Hierarchical Features for Scene Labeling

inferredcites →https://doi.org/10.1109/tpami.2016.2644615openalex-snapshot

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

inferredcites →https://doi.org/10.1109/tpami.2017.2699184openalex-snapshot

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

inferredcites →https://doi.org/10.1109/tpami.2017.2708714openalex-snapshot

Exploring Context with Deep Structured Models for Semantic Segmentation

inferredcites →https://doi.org/10.1109/tpami.2020.3001940openalex-snapshot

Structured Knowledge Distillation for Dense Prediction

inferredcites →https://doi.org/10.1145/1150402.1150464openalex-snapshot

Model compression

inferredcites →https://doi.org/10.1609/aaai.v35i2.16257openalex-snapshot

Context-Aware Graph Convolution Network for Target Re-identification

inferredcites →https://doi.org/10.17863/cam.48429openalex-snapshot

Graph Attention Networks

inferredcites →https://doi.org/10.21437/interspeech.2018-1456openalex-snapshot

ESPnet: End-to-End Speech Processing Toolkit

inferredcites →https://doi.org/10.48550/arxiv.1503.02531openalex-snapshot

Distilling the Knowledge in a Neural Network

inferredcites →https://doi.org/10.48550/arxiv.1612.03928openalex-snapshot

Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer

inferredcites →https://doi.org/10.48550/arxiv.1808.00897openalex-snapshot

BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation

inferredcites →https://doi.org/10.48550/arxiv.1809.00916openalex-snapshot

OCNet: Object Context Network for Scene Parsing

inferredcites →https://doi.org/10.48550/arxiv.1810.08476openalex-snapshot

Improving Fast Segmentation With Teacher-student Learning

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4687387openalex-extracted

inferred← citeshttps://doi.org/10.1002/mp.17055openalex-snapshot

Learning with privileged knowledge of multiple kernels via joint prediction for CT Kernel conversion

inferred← citeshttps://doi.org/10.1007/978-3-031-74640-6_14openalex-snapshot

Towards Comparable Knowledge Distillation in Semantic Image Segmentation

inferred← citeshttps://doi.org/10.1007/978-981-92-0068-9_34openalex-snapshot

CLIP-Based Dual-Encoder Approach for Sketch-to-Image Retrieval

inferred← citeshttps://doi.org/10.1007/s00371-023-02898-8openalex-snapshot

LCH: fast RGB-D salient object detection on CPU via lightweight convolutional network with hybrid knowledge distillation

inferred← citeshttps://doi.org/10.1007/s00521-023-08321-6openalex-snapshot

MTED: multiple teachers ensemble distillation for compact semantic segmentation

inferred← citeshttps://doi.org/10.1007/s10489-025-07004-0openalex-snapshot

A thresholdless wildfire pixel detection employing color contrast features

inferred← citeshttps://doi.org/10.1007/s11042-026-21879-2openalex-snapshot

Knowledge-guided machine learning in computer vision: A systematic survey and taxonomy (2014-2025)

inferred← citeshttps://doi.org/10.1007/s11263-025-02585-2openalex-snapshot

Uncertainty-Aware and Decoupled Distillation for Semantic Segmentation

inferred← citeshttps://doi.org/10.1007/s11432-023-4061-2openalex-snapshot

Relative difficulty distillation for semantic segmentation

inferred← citeshttps://doi.org/10.1016/j.compag.2024.109216openalex-snapshot

Cognition of grape cluster picking point based on visual knowledge distillation in complex vineyard environment

inferred← citeshttps://doi.org/10.1016/j.engappai.2024.107940openalex-snapshot

Latent domain knowledge distillation for nighttime semantic segmentation

inferred← citeshttps://doi.org/10.1016/j.eswa.2025.127736openalex-snapshot

Knowledge distillation from relative distribution

inferred← citeshttps://doi.org/10.1016/j.future.2024.03.009openalex-snapshot

Coarse-to-Fine: A hierarchical DNN inference framework for edge computing

inferred← citeshttps://doi.org/10.1016/j.imavis.2024.105211openalex-snapshot

Dual-branch teacher-student with noise-tolerant learning for domain adaptive nighttime segmentation

inferred← citeshttps://doi.org/10.1016/j.inffus.2024.102722openalex-snapshot

Deep learning based 3D segmentation in computer vision: A survey

inferred← citeshttps://doi.org/10.1016/j.knosys.2024.111664openalex-snapshot

RSKD: Enhanced medical image segmentation via multi-layer, rank-sensitive knowledge distillation in Vision Transformer models

inferred← citeshttps://doi.org/10.1016/j.media.2026.104089openalex-snapshot

FKDNuSeg: Flawless knowledge distillation for lightweight and fast nuclei instance segmentation and classification

inferred← citeshttps://doi.org/10.1016/j.patcog.2024.111319openalex-snapshot

Region-aware mutual relational knowledge distillation for semantic segmentation

inferred← citeshttps://doi.org/10.1109/access.2024.3372394openalex-snapshot

FKD-Med: Privacy-Aware, Communication-Optimized Medical Image Segmentation via Federated Learning and Model Lightweighting Through Knowledge Distillation

inferred← citeshttps://doi.org/10.1109/access.2025.3579344openalex-snapshot

Optimizing Knowledge Transfer Graph for Deep Collaborative Learning

inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.02262openalex-snapshot

Ultra-High Resolution Segmentation with Ultra-Rich Context: A Novel Benchmark

inferred← citeshttps://doi.org/10.1109/cvpr52733.2024.00296openalex-snapshot

LLaFS: When Large Language Models Meet Few-Shot Segmentation

inferred← citeshttps://doi.org/10.1109/cvpr52733.2024.00324openalex-snapshot

Addressing Background Context Bias in Few-Shot Segmentation Through Iterative Modulation

inferred← citeshttps://doi.org/10.1109/cvpr52733.2024.02430openalex-snapshot

Empowering Resampling Operation for Ultra-High-Definition Image Enhancement with Model-Aware Guidance

inferred← citeshttps://doi.org/10.1109/cvpr52733.2024.02492openalex-snapshot

Probing Synergistic High-Order Interaction in Infrared and Visible Image Fusion

inferred← citeshttps://doi.org/10.1109/cvpr52734.2025.00343openalex-snapshot

ROS-SAM: High-Quality Interactive Segmentation for Remote Sensing Moving Object

inferred← citeshttps://doi.org/10.1109/cvpr52734.2025.01373openalex-snapshot

SkySense-O: Towards Open-World Remote Sensing Interpretation with Vision-Centric Visual-Language Modeling

inferred← citeshttps://doi.org/10.1109/icassp48485.2024.10446592openalex-snapshot

Changenet: Multi-Temporal Asymmetric Change Detection Dataset

inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10890297openalex-snapshot

VPCI: Self-Supervised Visual Prompt-Guided Cross-Domain Interactive Image Fusion Framework

inferred← citeshttps://doi.org/10.1109/iccv51070.2023.00069openalex-snapshot

Texture Learning Domain Randomization for Domain Generalized Segmentation

inferred← citeshttps://doi.org/10.1109/iccv51070.2023.00160openalex-snapshot

FerKD: Surgical Label Adaptation for Efficient Distillation

inferred← citeshttps://doi.org/10.1109/iccv51070.2023.01076openalex-snapshot

A Good Student is Cooperative and Reliable: CNN-Transformer Collaborative Learning for Semantic Segmentation

inferred← citeshttps://doi.org/10.1109/icip51287.2024.10647565openalex-snapshot

Prune Channel And Distill: Discriminative Knowledge Distillation For Semantic Segmentation

inferred← citeshttps://doi.org/10.1109/icip55913.2025.11084431openalex-snapshot

Improve Real-Time Flood Segmentation by Encoding and Distilling Foreground Information

inferred← citeshttps://doi.org/10.1109/icra55743.2025.11128182openalex-snapshot

Off-Road Freespace Detection with LiDAR-Camera Fusion and Self-Distillation

inferred← citeshttps://doi.org/10.1109/mmsp59012.2023.10337639openalex-snapshot

Channel Affinity Knowledge Distillation for Semantic Segmentation

inferred← citeshttps://doi.org/10.1109/oceans58557.2025.11104751openalex-snapshot

Investigation of Time-Frequency Feature Combinations with Histogram Layer Time Delay Neural Networks

inferred← citeshttps://doi.org/10.1109/tai.2025.3564238openalex-snapshot

Location, Neighborhood, and Semantic Guidance Network for RGB-D Co-Salient Object Detection

inferred← citeshttps://doi.org/10.1109/tai.2025.3593445openalex-snapshot

Histogram Layers for Neural “Engineered” Features

inferred← citeshttps://doi.org/10.1109/tcsvt.2023.3325229openalex-snapshot

Modal Evaluation Network via Knowledge Distillation for No-Service Rail Surface Defect Detection

inferred← citeshttps://doi.org/10.1109/tcsvt.2024.3382354openalex-snapshot

DGPINet-KD: Deep Guided and Progressive Integration Network With Knowledge Distillation for RGB-D Indoor Scene Analysis

inferred← citeshttps://doi.org/10.1109/tcsvt.2025.3574144openalex-snapshot

TANet: Tri-Aspects Network for Camouflaged Object Detection

inferred← citeshttps://doi.org/10.1109/tgrs.2023.3311480openalex-snapshot

Graph Attention Guidance Network With Knowledge Distillation for Semantic Segmentation of Remote Sensing Images

inferred← citeshttps://doi.org/10.1109/tgrs.2026.3656586openalex-snapshot

View-Centric Multiobject Tracking With Homographic Matching in Moving UAV

inferred← citeshttps://doi.org/10.1109/tgrs.2026.3657389openalex-snapshot

Dependency Then Compression: Global Dependency Network With Three-Stage Knowledge Transfer for Visible-Infrared Transmission Line Detection

inferred← citeshttps://doi.org/10.1109/tim.2023.3330222openalex-snapshot

PENet-KD: Progressive Enhancement Network via Knowledge Distillation for Rail Surface Defect Detection

inferred← citeshttps://doi.org/10.1109/tim.2023.3341118openalex-snapshot

PSTL-Net: A Patchwise Self-Texture-Learning Network for Transmission Line Inspection

inferred← citeshttps://doi.org/10.1109/tits.2023.3330498openalex-snapshot

Exploring Scale-Aware Features for Real-Time Semantic Segmentation of Street Scenes

inferred← citeshttps://doi.org/10.1109/tits.2024.3455416openalex-snapshot

TransKD: Transformer Knowledge Distillation for Efficient Semantic Segmentation

inferred← citeshttps://doi.org/10.1109/tiv.2023.3268241openalex-snapshot

Dense Top-View Semantic Completion With Sparse Guidance and Online Distillation

inferred← citeshttps://doi.org/10.1109/tiv.2024.3456437openalex-snapshot

MGSGNet-S*: Multilayer Guided Semantic Graph Network via Knowledge Distillation for RGB-Thermal Urban Scene Parsing

inferred← citeshttps://doi.org/10.1109/tmm.2023.3321535openalex-snapshot

Bidirectional Knowledge Reconfiguration for Lightweight Point Cloud Analysis

inferred← citeshttps://doi.org/10.1109/tmm.2026.3668494openalex-snapshot

PI-Net: Point-to-Image Knowledge Distillation for Camera-Based 3D Semantic Scene Completion

inferred← citeshttps://doi.org/10.1109/tmm.2026.3688387openalex-snapshot

Multiscale Graph-Refinement-Aware Network for RGB-D Mirror Segmentation

inferred← citeshttps://doi.org/10.1109/tnnls.2024.3367901openalex-snapshot

CoT: Contourlet Transformer for Hierarchical Semantic Segmentation

inferred← citeshttps://doi.org/10.1109/tnnls.2025.3575088openalex-snapshot

Multiattentive Perception and Multilayer Transfer Network Using Knowledge Distillation for RGB-D Indoor Scene Parsing

inferred← citeshttps://doi.org/10.1109/tnse.2025.3572362openalex-snapshot

Rethinking Knowledge Distillation in Collaborative Machine Learning: Memory, Knowledge, and Their Interactions

inferred← citeshttps://doi.org/10.1109/tpami.2024.3421277openalex-snapshot

Pixel Distillation: Cost-Flexible Distillation Across Image Sizes and Heterogeneous Networks

inferred← citeshttps://doi.org/10.1109/tpami.2025.3536481openalex-snapshot

Structural and Statistical Texture Knowledge Distillation and Learning for Segmentation

inferred← citeshttps://doi.org/10.1109/tpami.2025.3594040openalex-snapshot

Replay Master: Automatic Sample Selection and Effective Memory Utilization for Continual Semantic Segmentation

inferred← citeshttps://doi.org/10.1109/tsmc.2026.3660340openalex-snapshot

Hybrid Embedding SAM-Guided Feedback Network for RGB–Thermal Urban Scene Parsing

inferred← citeshttps://doi.org/10.1109/wacv57701.2024.00110openalex-snapshot

BPKD: Boundary Privileged Knowledge Distillation For Semantic Segmentation

inferred← citeshttps://doi.org/10.1109/wacv57701.2024.00119openalex-snapshot

Rethinking Knowledge Distillation with Raw Features for Semantic Segmentation

inferred← citeshttps://doi.org/10.1109/waspaa58266.2023.10248102openalex-snapshot

Histogram Layer Time Delay Neural Networks for Passive Sonar Classification

inferred← citeshttps://doi.org/10.1117/1.jei.33.2.023029openalex-snapshot

TSD-CAM: transformer-based self distillation with CAM similarity for weakly supervised semantic segmentation

inferred← citeshttps://doi.org/10.1145/3556548.3559630openalex-snapshot

A two-level architecture for deep learning applications in mobile edge computing

inferred← citeshttps://doi.org/10.1145/3672608.3707773openalex-snapshot

Knowledge Distillation for Reduced Footprint Semantic Segmentation with the U-Net

inferred← citeshttps://doi.org/10.1145/3731715.3733354openalex-snapshot

Heterogeneous Model Knowledge Distillation via Dual Alignment for Semantic Segmentation

inferred← citeshttps://doi.org/10.24963/ijcai.2023/102openalex-snapshot

Guided Patch-Grouping Wavelet Transformer with Spatial Congruence for Ultra-High Resolution Segmentation

inferred← citeshttps://doi.org/10.3390/agriculture15131418openalex-snapshot

A Multi-Level Knowledge Distillation for Enhanced Crop Segmentation in Precision Agriculture

inferred← citeshttps://doi.org/10.3390/app16115573openalex-snapshot

Disagreement-Guided Knowledge Distillation for Efficient Kidney Segmentation in Abdominal CT

inferred← citeshttps://doi.org/10.3390/electronics11244080openalex-snapshot

Semi-Supervised Portrait Matting via the Collaboration of Teacher–Student Network and Adaptive Strategies

inferred← citeshttps://doi.org/10.3390/rs18101572openalex-snapshot

TriFusion-CD: Tri-Source Fusion for Robust Remote Sensing Change Detection Under Pseudo-Change Interference

inferred← citeshttps://doi.org/10.3390/s26010292openalex-snapshot

Knowledge Distillation in Object Detection: A Survey from CNN to Transformer

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.