Copertina

Mutually-Aware Feature Learning for Few-Shot Object Counting

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Jeon, Yerim, Lee, Subeen, Kim, Jihwan, Heo, Jae-Pil
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Masking Matters: Unlocking the Spatial Reasoning Capabilities of LLMs for 3D Scene-Language Understanding
di: Jeon, Yerim, et al.
Pubblicazione: (2025)

Boundary-Recovering Network for Temporal Action Detection
di: Kim, Jihwan, et al.
Pubblicazione: (2024)

Disambiguating 2D-3D Correspondences in Gaussian Splatting-based Feature Fields for Visual Localization
di: Lee, Miso, et al.
Pubblicazione: (2026)

Temporally Consistent Long-Term Memory for 3D Single Object Tracking
di: Yoo, Jaejoon, et al.
Pubblicazione: (2026)

Temporal Alignment-Free Video Matching for Few-shot Action Recognition
di: Lee, SuBeen, et al.
Pubblicazione: (2025)

Activating Self-Attention for Multi-Scene Absolute Pose Regression
di: Lee, Miso, et al.
Pubblicazione: (2024)

Long-term Pre-training for Temporal Action Detection with Transformers
di: Kim, Jihwan, et al.
Pubblicazione: (2024)

VLCounter: Text-aware Visual Representation for Zero-Shot Object Counting
di: Kang, Seunggu, et al.
Pubblicazione: (2023)

Cross-scale Aligned Supervision for Training GANs
di: Hyun, Sangeek, et al.
Pubblicazione: (2026)

Selective Contrastive Learning for Weakly Supervised Affordance Grounding
di: Moon, WonJun, et al.
Pubblicazione: (2025)

Re-Scoring Using Image-Language Similarity for Few-Shot Object Detection
di: Jung, Min Jae, et al.
Pubblicazione: (2023)

Scalable GANs with Transformers
di: Hyun, Sangeek, et al.
Pubblicazione: (2025)

Temporal Object-Aware Vision Transformer for Few-Shot Video Object Detection
di: Kumar, Yogesh, et al.
Pubblicazione: (2025)

MAGIC: Few-Shot Mask-Guided Anomaly Inpainting with Prompt Perturbation, Spatially Adaptive Guidance, and Context Awareness
di: Choi, JaeHyuck, et al.
Pubblicazione: (2025)

Topology-Aware CLIP Few-Shot Learning
di: Huang, Dazhi
Pubblicazione: (2025)

Bidirectional Multimodal Prompt Learning with Scale-Aware Training for Few-Shot Multi-Class Anomaly Detection
di: Lee, Yujin, et al.
Pubblicazione: (2024)

RoAD Benchmark: How LiDAR Models Fail under Coupled Domain Shifts and Label Evolution
di: Lee, Subeen, et al.
Pubblicazione: (2026)

Unlocking Transfer Learning for Open-World Few-Shot Recognition
di: Kim, Byeonggeun, et al.
Pubblicazione: (2024)

CDFormer: Cross-Domain Few-Shot Object Detection Transformer Against Feature Confusion
di: Meng, Boyuan, et al.
Pubblicazione: (2025)

Beyond Synthetic Replays: Turning Diffusion Features into Few-Shot Class-Incremental Learning Knowledge
di: Kim, Junsu, et al.
Pubblicazione: (2025)

Prediction-Feedback DETR for Temporal Action Detection
di: Kim, Jihwan, et al.
Pubblicazione: (2024)

Foreground-Covering Prototype Generation and Matching for SAM-Aided Few-Shot Segmentation
di: Park, Suho, et al.
Pubblicazione: (2025)

When Cars Have Stereotypes: Auditing Demographic Bias in Objects from Text-to-Image Models
di: Choi, Dasol, et al.
Pubblicazione: (2025)

Layer-Wise Feature Metric of Semantic-Pixel Matching for Few-Shot Learning
di: Tang, Hao, et al.
Pubblicazione: (2024)

Object-conditioned Bag of Instances for Few-Shot Personalized Instance Recognition
di: Michieli, Umberto, et al.
Pubblicazione: (2024)

Looking Beyond the Window: Global-Local Aligned CLIP for Training-free Open-Vocabulary Semantic Segmentation
di: Lee, ByeongCheol, et al.
Pubblicazione: (2026)

Prototypes are Balanced Units for Efficient and Effective Partially Relevant Video Retrieval
di: Moon, WonJun, et al.
Pubblicazione: (2025)

Auxiliary Descriptive Knowledge for Few-Shot Adaptation of Vision-Language Model
di: Lee, SuBeen, et al.
Pubblicazione: (2025)

CLOSER: Towards Better Representation Learning for Few-Shot Class-Incremental Learning
di: Oh, Junghun, et al.
Pubblicazione: (2024)

The Devil is in Low-Level Features for Cross-Domain Few-Shot Segmentation
di: Liu, Yuhan, et al.
Pubblicazione: (2025)

White Aggregation and Restoration for Few-shot 3D Point Cloud Semantic Segmentation
di: Im, Jiyun, et al.
Pubblicazione: (2025)

Compositional Few-Shot Class-Incremental Learning
di: Zou, Yixiong, et al.
Pubblicazione: (2024)

Mitigating Semantic Collapse in Partially Relevant Video Retrieval
di: Moon, WonJun, et al.
Pubblicazione: (2025)

GSGAN: Adversarial Learning for Hierarchical Generation of 3D Gaussian Splats
di: Hyun, Sangeek, et al.
Pubblicazione: (2024)

TIMA: Text-Image Mutual Awareness for Balancing Zero-Shot Adversarial Robustness and Generalization Ability
di: Ma, Fengji, et al.
Pubblicazione: (2024)

NTIRE 2025 Challenge on Cross-Domain Few-Shot Object Detection: Methods and Results
di: Fu, Yuqian, et al.
Pubblicazione: (2025)

Exploring Cross-Domain Few-Shot Classification via Frequency-Aware Prompting
di: Zhang, Tiange, et al.
Pubblicazione: (2024)

Transductive Zero-Shot and Few-Shot CLIP
di: Martin, Ségolène, et al.
Pubblicazione: (2024)

Bayesian Inverse Graphics for Few-Shot Concept Learning
di: Arriaga, Octavio, et al.
Pubblicazione: (2024)

Exploiting Low-Dimensional Manifold of Features for Few-Shot Whole Slide Image Classification
di: Xiong, Conghao, et al.
Pubblicazione: (2025)