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Cross Modal Distillation for Supervision Transfer
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-10578-9_23openalex-snapshot
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
inferredcites →https://doi.org/10.1007/978-3-319-10584-0_20openalex-snapshot
Simultaneous Detection and Segmentation
inferredcites →https://doi.org/10.1007/978-3-319-10584-0_23openalex-snapshot
Learning Rich Features from RGB-D Images for Object Detection and Segmentation
inferredcites →https://doi.org/10.1007/978-3-319-10602-1_48openalex-snapshot
Microsoft COCO: Common Objects in Context
inferredcites →https://doi.org/10.1007/978-3-642-15549-9_49openalex-snapshot
Learning to Recognize Objects from Unseen Modalities
inferredcites →https://doi.org/10.1007/978-3-642-33715-4_54openalex-snapshot
Indoor Segmentation and Support Inference from RGBD Images
inferredcites →https://doi.org/10.1007/bf00318371openalex-snapshot
Representation of local geometry in the visual system
inferredcites →https://doi.org/10.1109/cvpr.2009.5206848openalex-snapshot
ImageNet: A large-scale hierarchical image database
inferredcites →https://doi.org/10.1109/cvpr.2011.5995702openalex-snapshot
What you saw is not what you get: Domain adaptation using asymmetric kernel transforms
inferredcites →https://doi.org/10.1109/cvpr.2012.6247911openalex-snapshot
Geodesic flow kernel for unsupervised domain adaptation
inferredcites →https://doi.org/10.1109/cvpr.2013.465openalex-snapshot
Pedestrian Detection with Unsupervised Multi-stage Feature Learning
inferredcites →https://doi.org/10.1109/cvpr.2014.81openalex-snapshot
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2015.7298642openalex-snapshot
Hypercolumns for object segmentation and fine-grained localization
inferredcites →https://doi.org/10.1109/cvpr.2015.7298655openalex-snapshot
SUN RGB-D: A RGB-D scene understanding benchmark suite
inferredcites →https://doi.org/10.1109/cvpr.2015.7298701openalex-snapshot
Understanding image representations by measuring their equivariance and equivalence
inferredcites →https://doi.org/10.1109/cvpr.2015.7298965openalex-snapshot
Fully convolutional networks for semantic segmentation
inferredcites →https://doi.org/10.1109/cvpr.2015.7299105openalex-snapshot
Aligning 3D models to RGB-D images of cluttered scenes
inferredcites →https://doi.org/10.1109/cvprw.2015.7301270openalex-snapshot
From generic to specific deep representations for visual recognition
inferredcites →https://doi.org/10.1109/iccv.2011.6126504openalex-snapshot
Tabula rasa: Model transfer for object category detection
inferredcites →https://doi.org/10.1109/iccv.2013.396openalex-snapshot
Towards Understanding Action Recognition
inferredcites →https://doi.org/10.1109/iccv.2015.463openalex-snapshot
Simultaneous Deep Transfer Across Domains and Tasks
inferredcites →https://doi.org/10.1109/icra.2016.7487708openalex-snapshot
Cross-modal adaptation for RGB-D detection
inferredcites →https://doi.org/10.1109/tpami.2015.2389824openalex-snapshot
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
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Backpropagation Applied to Handwritten Zip Code Recognition
inferredcites →https://doi.org/10.48550/arxiv.1206.4660openalex-snapshot
Learning with Augmented Features for Heterogeneous Domain Adaptation
inferredcites →https://doi.org/10.48550/arxiv.1212.0402openalex-snapshot
UCF-101: A dataset of 101 human actions classes from videos in the wild
inferredcites →https://doi.org/10.48550/arxiv.1301.3666openalex-snapshot
Zero-Shot Learning Through Cross-Modal Transfer
inferredcites →https://doi.org/10.48550/arxiv.1310.1531openalex-snapshot
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
inferredcites →https://doi.org/10.48550/arxiv.1406.2199openalex-snapshot
Two-Stream Convolutional Networks for Action Recognition in Videos
inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-snapshot
Very Deep Convolutional Networks for Large-Scale Image Recognition
inferredcites →https://doi.org/10.48550/arxiv.1409.7495openalex-snapshot
Unsupervised Domain Adaptation by Backpropagation
inferredcites →https://doi.org/10.48550/arxiv.1411.1792openalex-snapshot
How transferable are features in deep neural networks?
inferredcites →https://doi.org/10.48550/arxiv.1412.3474openalex-snapshot
Deep Domain Confusion: Maximizing for Domain Invariance
inferredcites →https://doi.org/10.48550/arxiv.1412.6550openalex-snapshot
FitNets: Hints for Thin Deep Nets
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Learning Transferable Features with Deep Adaptation Networks
inferredcites →https://doi.org/10.48550/arxiv.1503.02531openalex-snapshot
Distilling the Knowledge in a Neural Network
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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RGB-Depth Cross-Modal Person Re-identification
inferred← citeshttps://doi.org/10.1109/bigdata59044.2023.10386968openalex-snapshot
Neurosymbolic Knowledge Distillation
inferred← citeshttps://doi.org/10.1109/cac53003.2021.9728306openalex-snapshot
Cross-Modal Knowledge Distillation for Fault Detection under Multiple Failure Modes
inferred← citeshttps://doi.org/10.1109/ccdc55256.2022.10034313openalex-snapshot
Research on Synthetic Data Generation and Multi-modal Target Detection
inferred← citeshttps://doi.org/10.1109/ccece59415.2024.10667336openalex-snapshot
Multimode Fiber Image Transmission via Cross-Modal Knowledge distillation
inferred← citeshttps://doi.org/10.1109/chase69719.2026.00040openalex-snapshot
X4Gait: Cross-Modal Supervision for Practical IMU-based Dual-Task Gait Recognition
inferred← citeshttps://doi.org/10.1109/cis-ram71614.2026.11668486openalex-snapshot
Appearance-Boundary Fusion Distillation for Event-Based Optical Flow
inferred← citeshttps://doi.org/10.1109/coase.2019.8842881openalex-snapshot
Fault Diagnosis Using Unsupervised Transfer Learning Based on Adversarial Network
inferred← citeshttps://doi.org/10.1109/comst.2026.3682638openalex-snapshot
Model Compression for Sustainable AI in xG Wireless Networks: Recent Advances, Challenges, and Future Directions
inferred← citeshttps://doi.org/10.1109/cvpr.2016.248openalex-snapshot
Fast Algorithms for Linear and Kernel SVM+
inferred← citeshttps://doi.org/10.1109/cvpr.2016.430openalex-snapshot
Learning from the Mistakes of Others: Matching Errors in Cross-Dataset Learning
inferred← citeshttps://doi.org/10.1109/cvpr.2016.648openalex-snapshot
Deep Exemplar 2D-3D Detection by Adapting from Real to Rendered Views
inferred← citeshttps://doi.org/10.1109/cvpr.2016.94openalex-snapshot
Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D Images
inferred← citeshttps://doi.org/10.1109/cvpr.2016.96openalex-snapshot
Learning with Side Information through Modality Hallucination
inferred← citeshttps://doi.org/10.1109/cvpr.2017.160openalex-snapshot
Learning Shape Abstractions by Assembling Volumetric Primitives
inferred← citeshttps://doi.org/10.1109/cvpr.2017.202openalex-snapshot
Stacked Generative Adversarial Networks
inferred← citeshttps://doi.org/10.1109/cvpr.2017.323openalex-snapshot
Growing a Brain: Fine-Tuning by Increasing Model Capacity
inferred← citeshttps://doi.org/10.1109/cvpr.2017.451openalex-snapshot
Learning Cross-Modal Deep Representations for Robust Pedestrian Detection
inferred← citeshttps://doi.org/10.1109/cvpr.2017.76openalex-snapshot
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction
inferred← citeshttps://doi.org/10.1109/cvpr.2017.769openalex-snapshot
Cognitive Mapping and Planning for Visual Navigation
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00018openalex-snapshot
Disentangled Person Image Generation
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00317openalex-snapshot
SurfConv: Bridging 3D and 2D Convolution for RGBD Images
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00433openalex-snapshot
Data Distillation: Towards Omni-Supervised Learning
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00530openalex-snapshot
Natural and Effective Obfuscation by Head Inpainting
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00823openalex-snapshot
ROAD: Reality Oriented Adaptation for Semantic Segmentation of Urban Scenes
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00329openalex-snapshot
Unifying Heterogeneous Classifiers With Distillation
inferred← citeshttps://doi.org/10.1109/cvpr.2019.01000openalex-snapshot
Refine and Distill: Exploiting Cycle-Inconsistency and Knowledge Distillation for Unsupervised Monocular Depth Estimation
inferred← citeshttps://doi.org/10.1109/cvpr.2019.01211openalex-snapshot
Translate-to-Recognize Networks for RGB-D Scene Recognition
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00055openalex-snapshot
Transformation GAN for Unsupervised Image Synthesis and Representation Learning
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00483openalex-snapshot
More Grounded Image Captioning by Distilling Image-Text Matching Model
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00656openalex-snapshot
Knowledge As Priors: Cross-Modal Knowledge Generalization for Datasets Without Superior Knowledge
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00908openalex-snapshot
A2dele: Adaptive and Attentive Depth Distiller for Efficient RGB-D Salient Object Detection
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.01047openalex-snapshot
Listen to Look: Action Recognition by Previewing Audio
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.01088openalex-snapshot
Spatio-Temporal Graph for Video Captioning With Knowledge Distillation
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.01452openalex-snapshot
Learning Geocentric Object Pose in Oblique Monocular Images
inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.00031openalex-snapshot
Shared Cross-Modal Trajectory Prediction for Autonomous Driving
inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.00067openalex-snapshot
EvDistill: Asynchronous Events to End-task Learning via Bidirectional Reconstruction-guided Cross-modal Knowledge Distillation
inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.00444openalex-snapshot
3D-to-2D Distillation for Indoor Scene Parsing
inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.00687openalex-snapshot
Ego-Exo: Transferring Visual Representations from Third-person to First-person Videos
inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.00694openalex-snapshot
Distilling Audio-Visual Knowledge by Compositional Contrastive Learning
inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.00742openalex-snapshot
Probabilistic Model Distillation for Semantic Correspondence
inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.00970openalex-snapshot
Thinking Fast and Slow: Efficient Text-to-Visual Retrieval with Transformers
inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.01277openalex-snapshot
A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification
inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.01387openalex-snapshot
Improving Weakly Supervised Visual Grounding by Contrastive Knowledge Distillation
inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.00462openalex-snapshot
Training Object Detectors from Scratch: An Empirical Study in the Era of Vision Transformer
inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.00837openalex-snapshot
X -Trans2Cap: Cross-Modal Knowledge Transfer using Transformer for 3D Dense Captioning
inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.00966openalex-snapshot
Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data
inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.01868openalex-snapshot
Improving Video Model Transfer with Dynamic Representation Learning
inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.00377openalex-snapshot
KD-DLGAN: Data Limited Image Generation via Knowledge Distillation
inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.00506openalex-snapshot
Unsupervised 3D Point Cloud Representation Learning by Triangle Constrained Contrast for Autonomous Driving
inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.00507openalex-snapshot
RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving
inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.00628openalex-snapshot
Active Exploration of Multimodal Complementarity for Few-Shot Action Recognition
inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.00641openalex-snapshot
Decoupled Multimodal Distilling for Emotion Recognition
inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.01079openalex-snapshot
StructVPR: Distill Structural Knowledge with Weighting Samples for Visual Place Recognition
inferred← citeshttps://doi.org/10.1109/cvpr52733.2024.00373openalex-snapshot
Segment Any Event Streams via Weighted Adaptation of Pivotal Tokens
inferred← citeshttps://doi.org/10.1109/cvpr52733.2024.01515openalex-snapshot
C 2 KD: Bridging the Modality Gap for Cross-Modal Knowledge Distillation
inferred← citeshttps://doi.org/10.1109/cvpr52733.2024.01652openalex-snapshot
EventDance: Unsupervised Source-Free Cross-Modal Adaptation for Event-Based Object Recognition
inferred← citeshttps://doi.org/10.1109/cvprf71909.2026.00578openalex-snapshot
Visual2Echo Compositional Contrastive Learning (V2E-CCL): Binaural Knowledge Distilled Network for Depth Prediction
inferred← citeshttps://doi.org/10.1109/cvprf71909.2026.00588openalex-snapshot
If You Can Describe it, They Can See it: Cross-Modal Learning of Visual Concepts from Textual Descriptions
inferred← citeshttps://doi.org/10.1109/cvprf71909.2026.00680openalex-snapshot
Seeing Helps Reasoning in Language Models
inferred← citeshttps://doi.org/10.1109/cvprw.2017.34openalex-snapshot
Deep Heterogeneous Face Recognition Networks Based on Cross-Modal Distillation and an Equitable Distance Metric
inferred← citeshttps://doi.org/10.1109/cvprw.2018.00107openalex-snapshot
Pseudo-Labels for Supervised Learning on Dynamic Vision Sensor Data, Applied to Object Detection Under Ego-Motion
inferred← citeshttps://doi.org/10.1109/cvprw53098.2021.00175openalex-snapshot
Dealing with Missing Modalities in the Visual Question Answer-Difference Prediction Task through Knowledge Distillation
inferred← citeshttps://doi.org/10.1109/dcoss-iot61029.2024.00031openalex-snapshot
Self-Supervised Contrastive Learning for Camera-to-Radar Knowledge Distillation
inferred← citeshttps://doi.org/10.1109/dicta.2018.8615760openalex-snapshot
Training Region Selector for Gram Stained Slides with Limited Data: A Data Distillation Approach
inferred← citeshttps://doi.org/10.1109/eeps63402.2024.10804303openalex-snapshot
Enhanced YOLOv8 Network Utilizing RGB-D Multi-Modal and Multi-Scale Feature Fusion for Defect Detection in Power Transmission Scenes
inferred← citeshttps://doi.org/10.1109/embc44109.2020.9175266openalex-snapshot
S-Convnet: A Shallow Convolutional Neural Network Architecture for Neuromuscular Activity Recognition Using Instantaneous High-Density Surface EMG Images
inferred← citeshttps://doi.org/10.1109/gtsd50082.2020.9303171openalex-snapshot
Deep Learning Based Semantic Segmentation for Nighttime Image
inferred← citeshttps://doi.org/10.1109/icaica52286.2021.9497865openalex-snapshot
ECNet: Edge-aware Context-aggregation Network for Transparent and Reflective Object Detection
inferred← citeshttps://doi.org/10.1109/icassp.2017.7952300openalex-snapshot
A cross-modal adaptation approach for brain decoding
inferred← citeshttps://doi.org/10.1109/icassp39728.2021.9414272openalex-snapshot
Age-VOX-Celeb: Multi-Modal Corpus for Facial and Speech Estimation
inferred← citeshttps://doi.org/10.1109/icassp39728.2021.9414294openalex-snapshot
Teacher-Assisted Mini-Batch Sampling for Blind Distillation Using Metric Learning
inferred← citeshttps://doi.org/10.1109/icassp40776.2020.9054253openalex-snapshot
ASR is All You Need: Cross-Modal Distillation for Lip Reading
inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11460751openalex-snapshot
Knowledge Distillation for Wearable-Based Disease Prediction and Vital-Sign Classification
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