[ECCV 2024 - Oral] HiT-SR: Hierarchical Transformer for Efficient Image Super-Resolution
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Updated
Mar 22, 2025 - Python
[ECCV 2024 - Oral] HiT-SR: Hierarchical Transformer for Efficient Image Super-Resolution
[ECCV 2024] Make Your ViT-based Multi-view 3D Detectors Faster via Token Compression
[MICCAI 2023] Laplacian-Former: Overcoming the Limitations of Vision Transformers in Local Texture Detection
arXiv 2025 | FuXi-beta: lightweight and fast generative recommendation.
[~] IntegratedPipeline is a Deep-learning Library for Non-LLM memory Augmented ML Framework, Specifically designed to provide capability for users to create any Autonomous Machine-learning model locally and Coordinatively that runs efficiently on small embedded systems to High end embedded systems, While continuously learning and runs efficiently.
Collection of efficient transformers.
Official PyTorch implementation of [CLS]-KD: Adaptive class token knowledge distillation for efficient vision transformer (Knowledge-based systems 2024)
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