Mind the Prompt: A Novel Benchmark for Prompt-based Class-Agnostic Counting
Fuente:
arXiv
Saved in:
| Main Authors: | Ciampi, Luca, Messina, Nicola, Pierucci, Matteo, Amato, Giuseppe, Avvenuti, Marco, Falchi, Fabrizio |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Does it Really Count? Assessing Semantic Grounding in Text-Guided Class-Agnostic Counting
by: Pacini, Giacomo, et al.
Published: (2026)
by: Pacini, Giacomo, et al.
Published: (2026)
CountingDINO: A Training-free Pipeline for Class-Agnostic Counting using Unsupervised Backbones
by: Pacini, Giacomo, et al.
Published: (2025)
by: Pacini, Giacomo, et al.
Published: (2025)
Semi-Supervised Biomedical Image Segmentation via Diffusion Models and Teacher-Student Co-Training
by: Ciampi, Luca, et al.
Published: (2025)
by: Ciampi, Luca, et al.
Published: (2025)
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging
by: Ciampi, Luca, et al.
Published: (2024)
by: Ciampi, Luca, et al.
Published: (2024)
A Survey on Class-Agnostic Counting: Advancements from Reference-Based to Open-World Text-Guided Approaches
by: Ciampi, Luca, et al.
Published: (2025)
by: Ciampi, Luca, et al.
Published: (2025)
One Patch to Caption Them All: A Unified Zero-Shot Captioning Framework
by: Bianchi, Lorenzo, et al.
Published: (2025)
by: Bianchi, Lorenzo, et al.
Published: (2025)
Learning Egocentric In-Hand Object Segmentation through Weak Supervision from Human Narrations
by: Messina, Nicola, et al.
Published: (2025)
by: Messina, Nicola, et al.
Published: (2025)
Is CLIP the main roadblock for fine-grained open-world perception?
by: Bianchi, Lorenzo, et al.
Published: (2024)
by: Bianchi, Lorenzo, et al.
Published: (2024)
CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge
by: Lagani, Gabriele, et al.
Published: (2025)
by: Lagani, Gabriele, et al.
Published: (2025)
Joint-Dataset Learning and Cross-Consistent Regularization for Text-to-Motion Retrieval
by: Messina, Nicola, et al.
Published: (2024)
by: Messina, Nicola, et al.
Published: (2024)
Comparison of Different Deep Neural Network Models in the Cultural Heritage Domain
by: Boyadzhiev, Teodor, et al.
Published: (2025)
by: Boyadzhiev, Teodor, et al.
Published: (2025)
FocalCount: Towards Class-Count Imbalance in Class-Agnostic Counting
by: Zhu, Huilin, et al.
Published: (2025)
by: Zhu, Huilin, et al.
Published: (2025)
The devil is in the fine-grained details: Evaluating open-vocabulary object detectors for fine-grained understanding
by: Bianchi, Lorenzo, et al.
Published: (2023)
by: Bianchi, Lorenzo, et al.
Published: (2023)
Adversarial Magnification to Deceive Deepfake Detection through Super Resolution
by: Coccomini, Davide Alessandro, et al.
Published: (2024)
by: Coccomini, Davide Alessandro, et al.
Published: (2024)
DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection
by: Lim, Jia Syuen, et al.
Published: (2024)
by: Lim, Jia Syuen, et al.
Published: (2024)
Deepfake Detection without Deepfakes: Generalization via Synthetic Frequency Patterns Injection
by: Coccomini, Davide Alessandro, et al.
Published: (2024)
by: Coccomini, Davide Alessandro, et al.
Published: (2024)
Exploring Strengths and Weaknesses of Super-Resolution Attack in Deepfake Detection
by: Coccomini, Davide Alessandro, et al.
Published: (2024)
by: Coccomini, Davide Alessandro, et al.
Published: (2024)
Neuro-Inspired Visual Pattern Recognition via Biological Reservoir Computing
by: Ciampi, Luca, et al.
Published: (2026)
by: Ciampi, Luca, et al.
Published: (2026)
Visual Prompt-Agnostic Evolution
by: Wang, Junze, et al.
Published: (2026)
by: Wang, Junze, et al.
Published: (2026)
Talking to DINO: Bridging Self-Supervised Vision Backbones with Language for Open-Vocabulary Segmentation
by: Barsellotti, Luca, et al.
Published: (2024)
by: Barsellotti, Luca, et al.
Published: (2024)
Label Anything: Multi-Class Few-Shot Semantic Segmentation with Visual Prompts
by: De Marinis, Pasquale, et al.
Published: (2024)
by: De Marinis, Pasquale, et al.
Published: (2024)
A Recipe for CAC: Mosaic-based Generalized Loss for Improved Class-Agnostic Counting
by: Chou, Tsung-Han, et al.
Published: (2024)
by: Chou, Tsung-Han, et al.
Published: (2024)
Bootstrapping MLLM for Weakly-Supervised Class-Agnostic Object Counting
by: Zhang, Xiaowen, et al.
Published: (2026)
by: Zhang, Xiaowen, et al.
Published: (2026)
A Simple-but-effective Baseline for Training-free Class-Agnostic Counting
by: Lin, Yuhao, et al.
Published: (2024)
by: Lin, Yuhao, et al.
Published: (2024)
CountGD++: Generalized Prompting for Open-World Counting
by: Amini-Naieni, Niki, et al.
Published: (2025)
by: Amini-Naieni, Niki, et al.
Published: (2025)
OCCAM: Class-Agnostic, Training-Free, Prior-Free and Multi-Class Object Counting
by: Spanakis, Michail, et al.
Published: (2026)
by: Spanakis, Michail, et al.
Published: (2026)
PEARL: Input-Agnostic Prompt Enhancement with Negative Feedback Regulation for Class-Incremental Learning
by: Qin, Yongchun, et al.
Published: (2024)
by: Qin, Yongchun, et al.
Published: (2024)
Topology-Agnostic Animal Motion Generation from Text Prompt
by: Chen, Keyi, et al.
Published: (2025)
by: Chen, Keyi, et al.
Published: (2025)
Prompt-driven Universal Model for View-Agnostic Echocardiography Analysis
by: Kim, Sekeun, et al.
Published: (2024)
by: Kim, Sekeun, et al.
Published: (2024)
PromptMAD: Cross-Modal Prompting for Multi-Class Visual Anomaly Localization
by: McCain, Duncan, et al.
Published: (2026)
by: McCain, Duncan, et al.
Published: (2026)
Vision Transformer Off-the-Shelf: A Surprising Baseline for Few-Shot Class-Agnostic Counting
by: Wang, Zhicheng, et al.
Published: (2023)
by: Wang, Zhicheng, et al.
Published: (2023)
SQLNet: Scale-Modulated Query and Localization Network for Few-Shot Class-Agnostic Counting
by: Wu, Hefeng, et al.
Published: (2023)
by: Wu, Hefeng, et al.
Published: (2023)
From Neural Activity to Computation: Biological Reservoirs for Pattern Recognition in Digit Classification
by: Iannello, Ludovico, et al.
Published: (2025)
by: Iannello, Ludovico, et al.
Published: (2025)
A Fixed-Point Approach to Unified Prompt-Based Counting
by: Lin, Wei, et al.
Published: (2024)
by: Lin, Wei, et al.
Published: (2024)
Regressor-Segmenter Mutual Prompt Learning for Crowd Counting
by: Guo, Mingyue, et al.
Published: (2023)
by: Guo, Mingyue, et al.
Published: (2023)
Expanding Zero-Shot Object Counting with Rich Prompts
by: Zhu, Huilin, et al.
Published: (2025)
by: Zhu, Huilin, et al.
Published: (2025)
Prompting classes: Exploring the Power of Prompt Class Learning in Weakly Supervised Semantic Segmentation
by: Murugesan, Balamurali, et al.
Published: (2023)
by: Murugesan, Balamurali, et al.
Published: (2023)
DSS-Prompt: Dynamic-Static Synergistic Prompting for Few-Shot Class-Incremental Learning
by: He, Linpu, et al.
Published: (2025)
by: He, Linpu, et al.
Published: (2025)
Modality-Agnostic Prompt Learning for Multi-Modal Camouflaged Object Detection
by: Wang, Hao, et al.
Published: (2026)
by: Wang, Hao, et al.
Published: (2026)
CountFormer: A Transformer Framework for Learning Visual Repetition and Structure in Class-Agnostic Object Counting
by: Hossain, Md Tanvir, et al.
Published: (2025)
by: Hossain, Md Tanvir, et al.
Published: (2025)
Similar Items
-
Does it Really Count? Assessing Semantic Grounding in Text-Guided Class-Agnostic Counting
by: Pacini, Giacomo, et al.
Published: (2026) -
CountingDINO: A Training-free Pipeline for Class-Agnostic Counting using Unsupervised Backbones
by: Pacini, Giacomo, et al.
Published: (2025) -
Semi-Supervised Biomedical Image Segmentation via Diffusion Models and Teacher-Student Co-Training
by: Ciampi, Luca, et al.
Published: (2025) -
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging
by: Ciampi, Luca, et al.
Published: (2024) -
A Survey on Class-Agnostic Counting: Advancements from Reference-Based to Open-World Text-Guided Approaches
by: Ciampi, Luca, et al.
Published: (2025)