SOTAVerified

Knowledge Distillation

Knowledge distillation is the process of transferring knowledge from a large model to a smaller one. While large models (such as very deep neural networks or ensembles of many models) have higher knowledge capacity than small models, this capacity might not be fully utilized.

Papers

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Showing 701–750 of 4240 papers

TitleStatusHype
Cross-Modality Knowledge Distillation Network for Monocular 3D Object DetectionCode1
Can LLM Watermarks Robustly Prevent Unauthorized Knowledge Distillation?Code1
Heterogeneous Knowledge Distillation using Information Flow ModelingCode1
A Discrepancy Aware Framework for Robust Anomaly DetectionCode1
Cross-modality Data Augmentation for End-to-End Sign Language TranslationCode1
EchoDFKD: Data-Free Knowledge Distillation for Cardiac Ultrasound Segmentation using Synthetic DataCode1
HiCD: Change Detection in Quality-Varied Images via Hierarchical Correlation DistillationCode1
Confidence-Aware Multi-Teacher Knowledge DistillationCode1
CrossMatch: Enhance Semi-Supervised Medical Image Segmentation with Perturbation Strategies and Knowledge DistillationCode1
Effective Self-supervised Pre-training on Low-compute Networks without DistillationCode1
EfficientBERT: Progressively Searching Multilayer Perceptron via Warm-up Knowledge DistillationCode1
Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion ModelsCode1
Conformer and Blind Noisy Students for Improved Image Quality AssessmentCode1
Ensembling and Knowledge Distilling of Large Sequence Taggers for Grammatical Error CorrectionCode1
Cross-Modal Fusion Distillation for Fine-Grained Sketch-Based Image RetrievalCode1
ConNER: Consistency Training for Cross-lingual Named Entity RecognitionCode1
Consensual Collaborative Training And Knowledge Distillation Based Facial Expression Recognition Under Noisy AnnotationsCode1
Consistent Representation Learning for Continual Relation ExtractionCode1
Camera clustering for scalable stream-based active distillationCode1
ConStyle v2: A Strong Prompter for All-in-One Image RestorationCode1
Designing Large Foundation Models for Efficient Training and Inference: A SurveyCode1
Content-Aware GAN CompressionCode1
Anomaly Detection in Video via Self-Supervised and Multi-Task LearningCode1
Content-Variant Reference Image Quality Assessment via Knowledge DistillationCode1
Context-Aware Image Inpainting with Learned Semantic PriorsCode1
Audio Embeddings as Teachers for Music ClassificationCode1
DARTS: Double Attention Reference-based Transformer for Super-resolutionCode1
Efficient On-Device Session-Based RecommendationCode1
Efficient Semantic Video Segmentation with Per-frame InferenceCode1
MDFlow: Unsupervised Optical Flow Learning by Reliable Mutual Knowledge DistillationCode1
Continual All-in-One Adverse Weather Removal with Knowledge Replay on a Unified Network StructureCode1
Audio-Visual Representation Learning via Knowledge Distillation from Speech Foundation ModelsCode1
Continual Collaborative Distillation for Recommender SystemCode1
Agree to Disagree: Adaptive Ensemble Knowledge Distillation in Gradient SpaceCode1
Augmentation-Free Dense Contrastive Knowledge Distillation for Efficient Semantic SegmentationCode1
Learning Efficient Vision Transformers via Fine-Grained Manifold DistillationCode1
Continual evaluation for lifelong learning: Identifying the stability gapCode1
Ego-Exo: Transferring Visual Representations from Third-person to First-person VideosCode1
AICSD: Adaptive Inter-Class Similarity Distillation for Semantic SegmentationCode1
Eliminating Backdoor Triggers for Deep Neural Networks Using Attention Relation Graph DistillationCode1
Continual Learning for Image Segmentation with Dynamic QueryCode1
Continual Learning for LiDAR Semantic Segmentation: Class-Incremental and Coarse-to-Fine strategies on Sparse DataCode1
Hierarchical Self-supervised Augmented Knowledge DistillationCode1
CaMEL: Mean Teacher Learning for Image CaptioningCode1
Enhancing Cross-Tokenizer Knowledge Distillation with Contextual Dynamical MappingCode1
Enhancing and Adapting in the Clinic: Source-free Unsupervised Domain Adaptation for Medical Image EnhancementCode1
HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast ImagesCode1
Mind the Gap in Distilling StyleGANsCode1
CaKDP: Category-aware Knowledge Distillation and Pruning Framework for Lightweight 3D Object DetectionCode1
CrossKD: Cross-Head Knowledge Distillation for Object DetectionCode1
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All datasetsImageNetCIFAR-100COCO (Common Objects in Context)COCO 2017 valPASCAL VOCKITTI

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ScaleKD (T:BEiT-L S:ViT-B/14)Top-1 accuracy %86.43—Unverified
2ScaleKD (T:Swin-L S:ViT-B/16)Top-1 accuracy %85.53—Unverified
3ScaleKD (T:Swin-L S:ViT-S/16)Top-1 accuracy %83.93—Unverified
4ScaleKD (T:Swin-L S:Swin-T)Top-1 accuracy %83.8—Unverified
5KD++(T: regnety-16GF S:ViT-B)Top-1 accuracy %83.6—Unverified
6VkD (T:RegNety 160 S:DeiT-S)Top-1 accuracy %82.9—Unverified
7SpectralKD (T:Swin-S S:Swin-T)Top-1 accuracy %82.7—Unverified
8ScaleKD (T:Swin-L S:ResNet-50)Top-1 accuracy %82.55—Unverified
9DiffKD (T:Swin-L S: Swin-T)Top-1 accuracy %82.5—Unverified
10DIST (T: Swin-L S: Swin-T)Top-1 accuracy %82.3—Unverified
#ModelMetricClaimedVerifiedStatus
1SRD (T:resnet-32x4, S:shufflenet-v2)Top-1 Accuracy (%)79.86—Unverified
2shufflenet-v2(T:resnet-32x4, S:shufflenet-v2)Top-1 Accuracy (%)78.76—Unverified
3MV-MR (T: CLIP/ViT-B-16 S: resnet50)Top-1 Accuracy (%)78.6—Unverified
4resnet8x4 (T: resnet32x4 S: resnet8x4)Top-1 Accuracy (%)78.28—Unverified
5resnet8x4 (T: resnet32x4 S: resnet8x4 [modified])Top-1 Accuracy (%)78.08—Unverified
6ReviewKD++(T:resnet-32x4, S:shufflenet-v2)Top-1 Accuracy (%)77.93—Unverified
7ReviewKD++(T:resnet-32x4, S:shufflenet-v1)Top-1 Accuracy (%)77.68—Unverified
8resnet8x4 (T: resnet32x4 S: resnet8x4)Top-1 Accuracy (%)77.5—Unverified
9resnet8x4 (T: resnet32x4 S: resnet8x4)Top-1 Accuracy (%)76.68—Unverified
10resnet8x4 (T: resnet32x4 S: resnet8x4)Top-1 Accuracy (%)76.31—Unverified
#ModelMetricClaimedVerifiedStatus
1LSHFM (T: ResNet101 S: ResNet50)mAP77.16—Unverified
2LSHFM (T: ResNet101 S: MobileNetV2)mAP73.73—Unverified
3ADLIK-Faster (T: Faster R-CNN vit-base S: Faster R-CNN deit-small) box AP47.6—Unverified
4ADLIK-Mask (T: Mask R-CNN vit-base S: Mask R-CNN deit-small)mask AP42.4—Unverified
#ModelMetricClaimedVerifiedStatus
1ReviewKD++(T: faster rcnn(resnet101), S:faster rcnn(resnet50))AP@0.561.8—Unverified
2ReviewKD++(T: faster rcnn(resnet101), S:faster rcnn(resnet18))AP@0.557.96—Unverified
3ReviewKD++(T: faster rcnn(resnet101), S:faster rcnn(mobilenet-v2))AP@0.555.18—Unverified
#ModelMetricClaimedVerifiedStatus
1LSHFM (T: ResNet101 S: ResNet50)mAP93.17—Unverified
2LSHFM (T: ResNet101 S: MobileNetV2)mAP90.14—Unverified
#ModelMetricClaimedVerifiedStatus
1TIE-KD (T: Adabins S: MobileNetV2)RMSE2.43—Unverified