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Model Compression

1503 directly classified papers

Papers per year

Papers

Dynamic-VLM: Simple Dynamic Visual Token Compression for VideoLLM ICCV 2025
EA-Vit: Efficient Adaptation for Elastic Vision Transformer ICCV 2025
LiON-LoRA: Rethinking LoRA Fusion to Unify Controllable Spatial and Temporal Generation for Video Diffusion ICCV 2025
MUNBa: Machine Unlearning via Nash Bargaining ICCV 2025
Memory-Efficient 4-bit Preconditioned Stochastic Optimization ICCV 2025
Feather the Throttle: Revisiting Visual Token Pruning for Vision-Language Model Acceleration ICCV 2025
MEGA: Memory-Efficient 4D Gaussian Splatting for Dynamic Scenes ICCV 2025
MSQ: Memory-Efficient Bit Sparsification Quantization ICCV 2025
Accelerate 3D Object Detection Models via Zero-Shot Attention Key Pruning ICCV 2025
Robust Machine Unlearning for Quantized Neural Networks via Adaptive Gradient Reweighting with Similar Labels ICCV 2025
StolenLoRA: Exploring LoRA Extraction Attacks via Synthetic Data ICCV 2025
Dense2MoE: Restructuring Diffusion Transformer to MoE for Efficient Text-to-Image Generation ICCV 2025
Beyond Low-Rank Tuning: Model Prior-Guided Rank Allocation for Effective Transfer in Low-Data and Large-Gap Regimes. ICCV 2025
LiT: Delving into a Simple Linear Diffusion Transformer for Image Generation ICCV 2025
Saliency-Aware Quantized Imitation Learning for Efficient Robotic Control ICCV 2025
GenieBlue: Integrating both Linguistic and Multimodal Capabilities for Large Language Models on Mobile Devices ICCV 2025
MixA-Q: Revisiting Activation Sparsity for Vision Transformers from a Mixed-Precision Quantization Perspective ICCV 2025
A Quality-Guided Mixture of Score-Fusion Experts Framework for Human Recognition ICCV 2025
Variance-Based Pruning for Accelerating and Compressing Trained Networks ICCV 2025
OuroMamba: A Data-Free Quantization Framework for Vision Mamba ICCV 2025
Semantic Alignment and Reinforcement for Data-Free Quantization of Vision Transformers ICCV 2025
Make Your Training Flexible: Towards Deployment-Efficient Video Models ICCV 2025
LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal Models ICCV 2025
From Holistic to Localized: Local Enhanced Adapters for Efficient Visual Instruction Fine-Tuning ICCV 2025
Scheduling Weight Transitions for Quantization-Aware Training ICCV 2025