{"total":32,"rows":[{"id":"2303.00566","title":"Structured Pruning for Deep Convolutional Neural Networks: A survey","created":"2023-03-01","cited_by_count":122,"area":null},{"id":"2207.07097","title":"ReAct: Temporal Action Detection with Relational Queries","created":"2022-07-14","cited_by_count":48,"area":null},{"id":"2402.05964","title":"A Survey on Transformer Compression","created":"2024-02-05","cited_by_count":46,"area":null},{"id":"2309.02031","title":"A survey on efficient vision transformers: algorithms, techniques, and performance benchmarking","created":"2023-09-05","cited_by_count":41,"area":null},{"id":"2307.07982","title":"A Survey of Techniques for Optimizing Transformer Inference","created":"2023-07-16","cited_by_count":35,"area":null},{"id":"2209.08194","title":"PPT: token-Pruned Pose Transformer for monocular and multi-view human pose estimation","created":"2022-09-16","cited_by_count":27,"area":null},{"id":"2302.14771","title":"Generic-to-Specific Distillation of Masked Autoencoders","created":"2023-02-28","cited_by_count":19,"area":null},{"id":"2403.04245","title":"A Study of Dropout-Induced Modality Bias on Robustness to Missing Video Frames for Audio-Visual Speech Recognition","created":"2024-03-07","cited_by_count":12,"area":null},{"id":"2407.04208","title":"AMD: Automatic Multi-step Distillation of Large-scale Vision Models","created":"2024-07-05","cited_by_count":12,"area":null},{"id":"2309.16460","title":"Diverse Target and Contribution Scheduling for Domain Generalization","created":"2023-09-28","cited_by_count":10,"area":null},{"id":"2407.10366","title":"Accessing Vision Foundation Models via ImageNet-1K","created":"2024-07-15","cited_by_count":10,"area":null},{"id":"2501.06357","title":"Mix-QViT: Mixed-Precision Vision Transformer Quantization Driven by Layer Importance and Quantization Sensitivity","created":"2025-01-10","cited_by_count":9,"area":null},{"id":"2401.11243","title":"LRP-QViT: Mixed-Precision Vision Transformer Quantization via Layer-wise Relevance Propagation","created":"2024-01-20","cited_by_count":8,"area":null},{"id":"2404.13648","title":"Data-independent Module-aware Pruning for Hierarchical Vision Transformers","created":"2024-04-21","cited_by_count":6,"area":null},{"id":"2505.16778","title":"Single Domain Generalization for Few-Shot Counting via Universal Representation Matching","created":"2025-05-22","cited_by_count":6,"area":null},{"id":"2505.04861","title":"Mix-QSAM: Mixed-Precision Quantization of the Segment Anything Model","created":"2025-05-08","cited_by_count":4,"area":null},{"id":"2604.19609","title":"Volume Transformer: Revisiting Vanilla Transformers for 3D Scene Understanding","created":"2026-04-21","cited_by_count":4,"area":null},{"id":"2503.16659","title":"Advances in Protein Representation Learning: Methods, Applications, and Future Directions","created":"2025-03-20","cited_by_count":3,"area":null},{"id":"2412.00334","title":"EFTViT: Efficient Federated Training of Vision Transformers with Masked Images on Resource-Constrained Clients","created":"2024-11-30","cited_by_count":2,"area":null},{"id":"2505.03113","title":"Image Recognition with Online Lightweight Vision Transformer: A Survey","created":"2025-05-06","cited_by_count":2,"area":null},{"id":"2310.00574","title":"YFlows: Systematic Dataflow Exploration and Code Generation for Efficient Neural Network Inference using SIMD Architectures on CPUs","created":"2023-10-01","cited_by_count":1,"area":null},{"id":"2407.01894","title":"Adaptive Modality Balanced Online Knowledge Distillation for Brain-Eye-Computer based Dim Object Detection","created":"2024-07-02","cited_by_count":1,"area":null},{"id":"2407.06673","title":"CTRL-F: Pairing Convolution with Transformer for Image Classification via Multi-Level Feature Cross-Attention and Representation Learning Fusion","created":"2024-07-09","cited_by_count":1,"area":null},{"id":"2408.08250","title":"Computer Vision Model Compression Techniques for Embedded Systems: A Survey","created":"2024-08-15","cited_by_count":1,"area":null},{"id":"2602.05393","title":"Late-to-Early Training: LET LLMs Learn Earlier, So Faster and Better","created":"2026-02-05","cited_by_count":1,"area":null},{"id":"2304.05548","title":"Distilling Token-Pruned Pose Transformer for 2D Human Pose Estimation","created":"2023-04-12","cited_by_count":0,"area":null},{"id":"2311.09653","title":"Improved TokenPose with Sparsity","created":"2023-11-16","cited_by_count":0,"area":null},{"id":"2407.14249","title":"An Attention-based Representation Distillation Baseline for Multi-Label Continual Learning","created":"2024-07-19","cited_by_count":0,"area":null},{"id":"2407.15730","title":"Neural-based Video Compression on Solar Dynamics Observatory Images","created":"2024-07-12","cited_by_count":0,"area":null},{"id":"2512.12296","title":"GrowTAS: Progressive Expansion from Small to Large Subnets for Efficient ViT Architecture Search","created":"2025-12-13","cited_by_count":0,"area":null},{"id":"2605.07256","title":"TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts","created":"2026-05-08","cited_by_count":0,"area":null},{"id":"2607.28589","title":"MixFrag: Fragility-Guided Mixed-Precision Post-Training Quantization for Vision Transformers","created":"2026-07-30","cited_by_count":0,"area":null}],"next_cursor":null}