token pruning

TopV: Compatible Token Pruning with Inference Time Optimization for Fast and Low-Memory Multimodal Vision Language Model CVPR 2025 Towards Storage-Efficient Visual Document Retrieval: An Empirical Study on Reducing Patch-Level Embeddings ACL 2025 Training-Free and Hardware-Friendly Acceleration for Diffusion Models via Similarity-based Token Pruning AAAI 2025 VFlowOpt: A Token Pruning Framework for LMMs with Visual Information Flow-Guided Optimization ICCV 2025 VisiPruner: Decoding Discontinuous Cross-Modal Dynamics for Efficient Multimodal LLMs EMNLP 2025 VLTP: Vision-Language Guided Token Pruning for Task-Oriented Segmentation WACV 2025 Walk and Read Less: Improving the Efficiency of Vision-and-Language Navigation via Tuning-Free Multimodal Token Pruning EMNLP 2025 When Large Vision-Language Model Meets Large Remote Sensing Imagery: Coarse-to-Fine Text-Guided Token Pruning ICCV 2025 An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models ECCV 2024 Attention-Driven Training-Free Efficiency Enhancement of Diffusion Models CVPR 2024 Exploring Token Pruning in Vision State Space Models NeurIPS 2024 GTP-ViT: Efficient Vision Transformers via Graph-Based Token Propagation WACV 2024 Hourglass Tokenizer for Efficient Transformer-Based 3D Human Pose Estimation CVPR 2024 MLP Can Be A Good Transformer Learner CVPR 2024 Revisiting Token Pruning for Object Detection and Instance Segmentation WACV 2024 SmartTrim: Adaptive Tokens and Attention Pruning for Efficient Vision-Language Models COLING 2024 Token Fusion: Bridging the Gap Between Token Pruning and Token Merging WACV 2024 What Are You Token About? Differentiable Perturbed Top-k Token Selection for Scientific Document Summarization ACL 2024 Zero-TPrune: Zero-Shot Token Pruning through Leveraging of the Attention Graph in Pre-Trained Transformers CVPR 2024 Adaptive Sparse ViT: Towards Learnable Adaptive Token Pruning by Fully Exploiting Self-Attention IJCAI 2023 Beyond Attentive Tokens: Incorporating Token Importance and Diversity for Efficient Vision Transformers CVPR 2023 Dynamic Inference With Grounding Based Vision and Language Models CVPR 2023 Dynamic Token Pruning in Plain Vision Transformers for Semantic Segmentation ICCV 2023 Focus on the Core: Efficient Attention via Pruned Token Compression for Document Classification EMNLP 2023 Joint Token Pruning and Squeezing Towards More Aggressive Compression of Vision Transformers CVPR 2023