Cover Image

Weakly Supervised Object Detection for Automatic Tooth-marked Tongue Recognition

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Yongcun, Xu, Jiajun, He, Yina, Li, Shaozi, Luo, Zhiming, Lei, Huangwei
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Long-Tailed Out-of-Distribution Detection: Prioritizing Attention to Tail
by: He, Yina, et al.
Published: (2024)

Zero-Shot Co-salient Object Detection Framework
by: Xiao, Haoke, et al.
Published: (2023)

Exploring Frequencies via Feature Mixing and Meta-Learning for Improving Adversarial Transferability
by: Weng, Juanjuan, et al.
Published: (2024)

Improving Transferable Targeted Adversarial Attack via Normalized Logit Calibration and Truncated Feature Mixing
by: Weng, Juanjuan, et al.
Published: (2024)

Selective Domain-Invariant Feature for Generalizable Deepfake Detection
by: Lai, Yingxin, et al.
Published: (2024)

Towards Adversarial Robustness via Debiased High-Confidence Logit Alignment
by: Zhang, Kejia, et al.
Published: (2024)

Self-Classification Enhancement and Correction for Weakly Supervised Object Detection
by: Yin, Yufei, et al.
Published: (2025)

Mitigating Low-Frequency Bias: Feature Recalibration and Frequency Attention Regularization for Adversarial Robustness
by: Zhang, Kejia, et al.
Published: (2024)

General Geometry-aware Weakly Supervised 3D Object Detection
by: Zhang, Guowen, et al.
Published: (2024)

Partial Weakly-Supervised Oriented Object Detection
by: Liu, Mingxin, et al.
Published: (2025)

HCCM: Hierarchical Cross-Granularity Contrastive and Matching Learning for Natural Language-Guided Drones
by: Ruan, Hao, et al.
Published: (2025)

Harmonizing Feature Maps: A Graph Convolutional Approach for Enhancing Adversarial Robustness
by: Zhang, Kejia, et al.
Published: (2024)

Weakly Supervised 3D Object Detection with Multi-Stage Generalization
by: He, Jiawei, et al.
Published: (2023)

SPWOOD: Sparse Partial Weakly-Supervised Oriented Object Detection
by: Zhang, Wei, et al.
Published: (2026)

A brief introduction to a framework named Multilevel Guidance-Exploration Network
by: Yang, Guoqing, et al.
Published: (2023)

A Holistically Point-guided Text Framework for Weakly-Supervised Camouflaged Object Detection
by: Mok, Tsui Qin, et al.
Published: (2025)

Bootstrapping MLLM for Weakly-Supervised Class-Agnostic Object Counting
by: Zhang, Xiaowen, et al.
Published: (2026)

Weakly Supervised Test-Time Domain Adaptation for Object Detection
by: Doan, Anh-Dzung, et al.
Published: (2024)

Dual-Thresholded Heatmap-Guided Proposal Clustering and Negative Certainty Supervision with Enhanced Base Network for Weakly Supervised Object Detection
by: Guo, Yuelin, et al.
Published: (2025)

FCL-COD: Weakly Supervised Camouflaged Object Detection with Frequency-aware and Contrastive Learning
by: Ni, Jingchen, et al.
Published: (2026)

WeakMCN: Multi-task Collaborative Network for Weakly Supervised Referring Expression Comprehension and Segmentation
by: Liu, Yang, et al.
Published: (2025)

HUWSOD: Holistic Self-training for Unified Weakly Supervised Object Detection
by: Cao, Liujuan, et al.
Published: (2024)

Weakly-Supervised Learning of Dense Functional Correspondences
by: Stojanov, Stefan, et al.
Published: (2025)

SynPo: Boosting Training-Free Few-Shot Medical Segmentation via High-Quality Negative Prompts
by: Liu, Yufei, et al.
Published: (2025)

TAlignDiff: Automatic Tooth Alignment assisted by Diffusion-based Transformation Learning
by: Liu, Yunbi, et al.
Published: (2025)

Weakly Supervised Point Clouds Transformer for 3D Object Detection
by: Tang, Zuojin, et al.
Published: (2023)

Synthesize Boundaries: A Boundary-aware Self-consistent Framework for Weakly Supervised Salient Object Detection
by: Xu, Binwei, et al.
Published: (2022)

Tiny Object Detection with Single Point Supervision
by: Zhu, Haoran, et al.
Published: (2024)

Enhancing Weakly-Supervised Object Detection on Static Images through (Hallucinated) Motion
by: Gungor, Cagri, et al.
Published: (2024)

State and Scene Enhanced Prototypes for Weakly Supervised Open-Vocabulary Object Detection
by: Zhou, Jiaying, et al.
Published: (2025)

Differentiable Collision-Supervised Tooth Arrangement Network with a Decoupling Perspective
by: He, Zhihui, et al.
Published: (2024)

Bayesian Test-time Adaptation for Object Recognition and Detection with Vision-language Models
by: Zhou, Lihua, et al.
Published: (2025)

Recognize Any Surgical Object: Unleashing the Power of Weakly-Supervised Data
by: Li, Jiajie, et al.
Published: (2025)

Prototype-Driven Adaptation for Few-Shot Object Detection
by: Huang, Yushen, et al.
Published: (2025)

ModuSeg: Decoupling Object Discovery and Semantic Retrieval for Training-Free Weakly Supervised Segmentation
by: He, Qingze, et al.
Published: (2026)

Weakly-Supervised Referring Video Object Segmentation through Text Supervision
by: Shi, Miaojing, et al.
Published: (2026)

PCLMix: Weakly Supervised Medical Image Segmentation via Pixel-Level Contrastive Learning and Dynamic Mix Augmentation
by: Lei, Yu, et al.
Published: (2024)

Learning Causal Features for Incremental Object Detection
by: He, Zhenwei, et al.
Published: (2024)

MVAT: Multi-View Aware Teacher for Weakly Supervised 3D Object Detection
by: Lahlali, Saad, et al.
Published: (2025)

Weakly Supervised 3D Object Detection via Multi-Level Visual Guidance
by: Huang, Kuan-Chih, et al.
Published: (2023)