Cover Image

Accelerating Non-Maximum Suppression: A Graph Theory Perspective

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Si, King-Siong, Sun, Lu, Zhang, Weizhan, Gong, Tieliang, Wang, Jiahao, Liu, Jiang, Sun, Hao
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

OneActor: Consistent Character Generation via Cluster-Conditioned Guidance
by: Wang, Jiahao, et al.
Published: (2024)

SpotActor: Training-Free Layout-Controlled Consistent Image Generation
by: Wang, Jiahao, et al.
Published: (2024)

InfoSAM: Fine-Tuning the Segment Anything Model from An Information-Theoretic Perspective
by: Zhang, Yuanhong, et al.
Published: (2025)

Trainable Fixed-Point Quantization for Deep Learning Acceleration on FPGAs
by: Dai, Dingyi, et al.
Published: (2024)

Multimodal Machine Translation with Visual Scene Graph Pruning
by: Lu, Chenyu, et al.
Published: (2025)

Rethinking the Stability-Plasticity Trade-off in Continual Learning from an Architectural Perspective
by: Lu, Aojun, et al.
Published: (2025)

Revisiting Neural Networks for Continual Learning: An Architectural Perspective
by: Lu, Aojun, et al.
Published: (2024)

HGTS-Former: Hierarchical HyperGraph Transformer for Multivariate Time Series Analysis
by: Si, Hao, et al.
Published: (2025)

Why Does RL Generalize Better Than SFT? A Data-Centric Perspective on VLM Post-Training
by: Lu, Aojun, et al.
Published: (2026)

Hierarchical Adaptive Expert for Multimodal Sentiment Analysis
by: Qin, Jiahao, et al.
Published: (2025)

CLIP-driven Outliers Synthesis for few-shot OOD detection
by: Sun, Hao, et al.
Published: (2024)

Fixing the Perspective: A Critical Examination of Zero-1-to-3
by: Yu, Jack, et al.
Published: (2024)

C3Box: A CLIP-based Class-Incremental Learning Toolbox
by: Sun, Hao, et al.
Published: (2026)

Unifying Graph Contrastive Learning via Graph Message Augmentation
by: Zhang, Ziyan, et al.
Published: (2024)

Fewer is More: A Deep Graph Metric Learning Perspective Using Fewer Proxies
by: Zhu, Yuehua, et al.
Published: (2020)

DUAL: Dynamic Uncertainty-Aware Learning
by: Qin, Jiahao, et al.
Published: (2025)

Mind the Gap: Confidence Discrepancy Can Guide Federated Semi-Supervised Learning Across Pseudo-Mismatch
by: Liu, Yijie, et al.
Published: (2025)

Interpretable Dimensionality Reduction by Feature Preserving Manifold Approximation and Projection
by: Yang, Yang, et al.
Published: (2022)

SADA: Stability-guided Adaptive Diffusion Acceleration
by: Jiang, Ting, et al.
Published: (2025)

Adaptive Non-uniform Timestep Sampling for Accelerating Diffusion Model Training
by: Kim, Myunsoo, et al.
Published: (2024)

Handling The Non-Smooth Challenge in Tensor SVD: A Multi-Objective Tensor Recovery Framework
by: Zheng, Jingjing, et al.
Published: (2023)

HFGCN:Hypergraph Fusion Graph Convolutional Networks for Skeleton-Based Action Recognition
by: Dong, Pengcheng, et al.
Published: (2025)

Carve3D: Improving Multi-view Reconstruction Consistency for Diffusion Models with RL Finetuning
by: Xie, Desai, et al.
Published: (2023)

Accelerating Image Classification with Graph Convolutional Neural Networks using Voronoi Diagrams
by: Gharasuie, Mustafa Mohammadi, et al.
Published: (2025)

Differential Encoding for Improved Representation Learning over Graphs
by: Zhang, Haimin, et al.
Published: (2024)

FastCLIP: A Suite of Optimization Techniques to Accelerate CLIP Training with Limited Resources
by: Wei, Xiyuan, et al.
Published: (2024)

Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning
by: Zhang, Jihai, et al.
Published: (2024)

Bidirectional Normalizing Flow: From Data to Noise and Back
by: Lu, Yiyang, et al.
Published: (2025)

Suppressing Uncertainty in Gaze Estimation
by: Wang, Shijing, et al.
Published: (2024)

M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy
by: Zhang, Hansong, et al.
Published: (2023)

When Graph meets Multimodal: Benchmarking and Meditating on Multimodal Attributed Graphs Learning
by: Yan, Hao, et al.
Published: (2024)

MoEGCL: Mixture of Ego-Graphs Contrastive Representation Learning for Multi-View Clustering
by: Zhu, Jian, et al.
Published: (2025)

R2G: A Multi-View Circuit Graph Benchmark Suite from RTL to GDSII
by: Zhou, Zewei, et al.
Published: (2026)

Chain-of-Trajectories: Unlocking the Intrinsic Generative Optimality of Diffusion Models via Graph-Theoretic Planning
by: Chen, Ping, et al.
Published: (2026)

Loss Functions for Predictor-based Neural Architecture Search
by: Ji, Han, et al.
Published: (2025)

SEM-CLIP: Precise Few-Shot Learning for Nanoscale Defect Detection in Scanning Electron Microscope Image
by: Jin, Qian, et al.
Published: (2025)

ETSCL: An Evidence Theory-Based Supervised Contrastive Learning Framework for Multi-modal Glaucoma Grading
by: Yang, Zhiyuan, et al.
Published: (2024)

Rethinking the Bias of Foundation Model under Long-tailed Distribution
by: Chen, Jiahao, et al.
Published: (2025)

SVGen: Interpretable Vector Graphics Generation with Large Language Models
by: Wang, Feiyu, et al.
Published: (2025)

InfiniteYou: Flexible Photo Recrafting While Preserving Your Identity
by: Jiang, Liming, et al.
Published: (2025)