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Efficient Computing

6,876 papers

Papers per year

Papers

Anomaly Score: Evaluating Generative Models and Individual Generated Images based on Complexity and Vulnerability CVPR 2024
PointBeV: A Sparse Approach for BeV Predictions CVPR 2024
Real-Time Exposure Correction via Collaborative Transformations and Adaptive Sampling CVPR 2024
CORE-MPI: Consistency Object Removal with Embedding MultiPlane Image CVPR 2024
Resource-Efficient Transformer Pruning for Finetuning of Large Models CVPR 2024
On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm CVPR 2024
Bootstrapping SparseFormers from Vision Foundation Models CVPR 2024
Time- Memory- and Parameter-Efficient Visual Adaptation CVPR 2024
ERMVP: Communication-Efficient and Collaboration-Robust Multi-Vehicle Perception in Challenging Environments CVPR 2024
PikeLPN: Mitigating Overlooked Inefficiencies of Low-Precision Neural Networks CVPR 2024
vid-TLDR: Training Free Token Merging for Light-weight Video Transformer CVPR 2024
XFeat: Accelerated Features for Lightweight Image Matching CVPR 2024
DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Vision CVPR 2024
JointSQ: Joint Sparsification-Quantization for Distributed Learning CVPR 2024
TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models CVPR 2024
Sieve: Multimodal Dataset Pruning using Image Captioning Models CVPR 2024
Time-Efficient Light-Field Acquisition Using Coded Aperture and Events CVPR 2024
Reg-PTQ: Regression-specialized Post-training Quantization for Fully Quantized Object Detector CVPR 2024
SlowFormer: Adversarial Attack on Compute and Energy Consumption of Efficient Vision Transformers CVPR 2024
Taming the Tail in Class-Conditional GANs: Knowledge Sharing via Unconditional Training at Lower Resolutions CVPR 2024
Once for Both: Single Stage of Importance and Sparsity Search for Vision Transformer Compression CVPR 2024
ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt Tuning CVPR 2024
OneTracker: Unifying Visual Object Tracking with Foundation Models and Efficient Tuning CVPR 2024
Rethinking the Up-Sampling Operations in CNN-based Generative Network for Generalizable Deepfake Detection CVPR 2024
ALGM: Adaptive Local-then-Global Token Merging for Efficient Semantic Segmentation with Plain Vision Transformers CVPR 2024