Image de couverture de livre

GMC: A General Framework of Multi-stage Context Learning and Utilization for Visual Detection Tasks

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Wang, Xuan, Tang, Hao, Zhu, Zhigang
Format:	Preprint
Publié:	2024
Sujets:	Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Enhancing Visual Forced Alignment with Local Context-Aware Feature Extraction and Multi-Task Learning
par: He, Yi, et autres
Publié: (2025)

VisualCloze: A Universal Image Generation Framework via Visual In-Context Learning
par: Li, Zhong-Yu, et autres
Publié: (2025)

TerraGen: A Unified Multi-Task Layout Generation Framework for Remote Sensing Data Augmentation
par: Tang, Datao, et autres
Publié: (2025)

GMC-IQA: Exploiting Global-correlation and Mean-opinion Consistency for No-reference Image Quality Assessment
par: Chen, Zewen, et autres
Publié: (2024)

Exploring Task-Level Optimal Prompts for Visual In-Context Learning
par: Zhu, Yan, et autres
Publié: (2025)

Is Visual in-Context Learning for Compositional Medical Tasks within Reach?
par: Reiß, Simon, et autres
Publié: (2025)

Enhancing Visual In-Context Learning by Multi-Faceted Fusion
par: Liao, Wenwen, et autres
Publié: (2026)

Mamba Learns in Context: Structure-Aware Domain Generalization for Multi-Task Point Cloud Understanding
par: Jiang, Jincen, et autres
Publié: (2026)

GrabDAE: An Innovative Framework for Unsupervised Domain Adaptation Utilizing Grab-Mask and Denoise Auto-Encoder
par: Chen, Junzhou, et autres
Publié: (2024)

Multi-stage feature decorrelation constraints for improving CNN classification performance
par: Zhu, Qiuyu, et autres
Publié: (2023)

Revisiting Multi-Task Visual Representation Learning
par: Di, Shangzhe, et autres
Publié: (2026)

A Vanilla Multi-Task Framework for Dense Visual Prediction Solution to 1st VCL Challenge -- Multi-Task Robustness Track
par: Chen, Zehui, et autres
Publié: (2024)

Enhancing Visual Grounding and Generalization: A Multi-Task Cycle Training Approach for Vision-Language Models
par: Yang, Xiaoyu, et autres
Publié: (2023)

Beyond Semantics: Rediscovering Spatial Awareness in Vision-Language Models
par: Qi, Jianing, et autres
Publié: (2025)

mmCooper: A Multi-agent Multi-stage Communication-efficient and Collaboration-robust Cooperative Perception Framework
par: Liu, Bingyi, et autres
Publié: (2025)

Leveraging Visual Tokens for Extended Text Contexts in Multi-Modal Learning
par: Wang, Alex Jinpeng, et autres
Publié: (2024)

ICM-Fusion: In-Context Meta-Optimized LoRA Fusion for Multi-Task Adaptation
par: Shao, Yihua, et autres
Publié: (2025)

X-Transfer: A Transfer Learning-Based Framework for GAN-Generated Fake Image Detection
par: Zhang, Lei, et autres
Publié: (2023)

LiSD: An Efficient Multi-Task Learning Framework for LiDAR Segmentation and Detection
par: Xu, Jiahua, et autres
Publié: (2024)

Align the GAP: Prior-based Unified Multi-Task Remote Physiological Measurement Framework For Domain Generalization and Personalization
par: Wang, Jiyao, et autres
Publié: (2025)

MC-Bench: A Benchmark for Multi-Context Visual Grounding in the Era of MLLMs
par: Xu, Yunqiu, et autres
Publié: (2024)

VFXMaster: Unlocking Dynamic Visual Effect Generation via In-Context Learning
par: Li, Baolu, et autres
Publié: (2025)

Structured Context Learning for Generic Event Boundary Detection
par: Gu, Xin, et autres
Publié: (2025)

MMTL-UniAD: A Unified Framework for Multimodal and Multi-Task Learning in Assistive Driving Perception
par: Liu, Wenzhuo, et autres
Publié: (2025)

Phrase Grounding-based Style Transfer for Single-Domain Generalized Object Detection
par: Li, Hao, et autres
Publié: (2024)

An Efficient and Effective Transformer Decoder-Based Framework for Multi-Task Visual Grounding
par: Chen, Wei, et autres
Publié: (2024)

Progressive Language-guided Visual Learning for Multi-Task Visual Grounding
par: Wang, Jingchao, et autres
Publié: (2025)

A Simple Image Segmentation Framework via In-Context Examples
par: Liu, Yang, et autres
Publié: (2024)

Amped: Adaptive Multi-stage Non-edge Pruning for Edge Detection
par: Gao, Yuhan, et autres
Publié: (2026)

VrdONE: One-stage Video Visual Relation Detection
par: Jiang, Xinjie, et autres
Publié: (2024)

FullDiT: Multi-Task Video Generative Foundation Model with Full Attention
par: Ju, Xuan, et autres
Publié: (2025)

StoryImager: A Unified and Efficient Framework for Coherent Story Visualization and Completion
par: Tao, Ming, et autres
Publié: (2024)

VISTA: A Visual Analytics Framework to Enhance Foundation Model-Generated Data Labels
par: Xuan, Xiwei, et autres
Publié: (2025)

Hallucinate, Ground, Repeat: A Framework for Generalized Visual Relationship Detection
par: Vellamcheti, Shanmukha, et autres
Publié: (2025)

UniVAD: A Training-free Unified Model for Few-shot Visual Anomaly Detection
par: Gu, Zhaopeng, et autres
Publié: (2024)

VinDr-CXR-VQA: A Visual Question Answering Dataset for Explainable Chest X-Ray Analysis with Multi-Task Learning
par: Nguyen, Dang H., et autres
Publié: (2025)

Visual Context-Aware Person Fall Detection
par: Nagaj, Aleksander, et autres
Publié: (2024)

A Stepwise Distillation Learning Strategy for Non-differentiable Visual Programming Frameworks on Visual Reasoning Tasks
par: Wan, Wentao, et autres
Publié: (2023)

CAD 100K: A Comprehensive Multi-Task Dataset for Car Related Visual Anomaly Detection
par: Pang, Jiahua, et autres
Publié: (2026)

Resolving Task Objective Conflicts in Unified Model via Task-Aware Mixture-of-Experts
par: Zhang, Jiaxing, et autres
Publié: (2025)