:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Deng, Shizhuo, Han, Bowen, Chen, Jiaqi, Wang, Hao, Chen, Dongyue, Jia, Tong
Format:	Preprint
Publié:	2024
Sujets:	Computer Vision and Pattern Recognition
Accès en ligne:	https://arxiv.org/abs/2412.12793
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Mask-adaptive Gated Convolution and Bi-directional Progressive Fusion Network for Depth Completion
par: Huang, Tingxuan, et autres
Publié: (2024)

FOAM: A General Frequency-Optimized Anti-Overlapping Framework for Overlapping Object Perception
par: Li, Mingyuan, et autres
Publié: (2025)

Open-Vocabulary X-ray Prohibited Item Detection via Fine-tuning CLIP
par: Lin, Shuyang, et autres
Publié: (2024)

CLIPCleaner: Cleaning Noisy Labels with CLIP
par: Feng, Chen, et autres
Publié: (2024)

MadCLIP: Few-shot Medical Anomaly Detection with CLIP
par: Shiri, Mahshid, et autres
Publié: (2025)

Selective Vision-Language Subspace Projection for Few-shot CLIP
par: Zhu, Xingyu, et autres
Publié: (2024)

CLIP-driven Zero-shot Learning with Ambiguous Labels
par: Fan, Jinfu, et autres
Publié: (2026)

CSPCL: Category Semantic Prior Contrastive Learning for Deformable DETR-Based Prohibited Item Detectors
par: Li, Mingyuan, et autres
Publié: (2025)

Unlearning the Noisy Correspondence Makes CLIP More Robust
par: Han, Haochen, et autres
Publié: (2025)

CardiacCLIP: Video-based CLIP Adaptation for LVEF Prediction in a Few-shot Manner
par: Du, Yao, et autres
Publié: (2025)

SpikMamba: When SNN meets Mamba in Event-based Human Action Recognition
par: Chen, Jiaqi, et autres
Publié: (2024)

Adaptive Label Correction for Robust Medical Image Segmentation with Noisy Labels
par: Qian, Chengxuan, et autres
Publié: (2025)

MediCLIP: Adapting CLIP for Few-shot Medical Image Anomaly Detection
par: Zhang, Ximiao, et autres
Publié: (2024)

DiN: Diffusion Model for Robust Medical VQA with Semantic Noisy Labels
par: Guo, Erjian, et autres
Publié: (2025)

CLIP-guided Prototype Modulating for Few-shot Action Recognition
par: Wang, Xiang, et autres
Publié: (2023)

AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning
par: Tang, Yuwei, et autres
Publié: (2024)

Logits DeConfusion with CLIP for Few-Shot Learning
par: Li, Shuo, et autres
Publié: (2025)

Robust Saliency-Aware Distillation for Few-shot Fine-grained Visual Recognition
par: Liu, Haiqi, et autres
Publié: (2023)

AO-DETR: Anti-Overlapping DETR for X-Ray Prohibited Items Detection
par: Li, Mingyuan, et autres
Publié: (2024)

GAA-TSO: Geometry-Aware Assisted Depth Completion for Transparent and Specular Objects
par: Liu, Yizhe, et autres
Publié: (2025)

CLIP's Visual Embedding Projector is a Few-shot Cornucopia
par: Fahes, Mohammad, et autres
Publié: (2024)

DiffCLIP: Few-shot Language-driven Multimodal Classifier
par: Zhang, Jiaqing, et autres
Publié: (2024)

Retrieval-Enhanced Visual Prompt Learning for Few-shot Classification
par: Rong, Jintao, et autres
Publié: (2023)

Multi-view Distillation based on Multi-modal Fusion for Few-shot Action Recognition(CLIP-$\mathrm{M^2}$DF)
par: Guo, Fei, et autres
Publié: (2024)

The Devil is in the Few Shots: Iterative Visual Knowledge Completion for Few-shot Learning
par: Li, Yaohui, et autres
Publié: (2024)

Few-shot Calligraphy Style Learning
par: Chen, Fangda, et autres
Publié: (2024)

FNBench: Benchmarking Robust Federated Learning against Noisy Labels
par: Jiang, Xuefeng, et autres
Publié: (2025)

RobustEMD: Domain Robust Matching for Cross-domain Few-shot Medical Image Segmentation
par: Zhu, Yazhou, et autres
Publié: (2024)

LADA: Scalable Label-Specific CLIP Adapter for Continual Learning
par: Luo, Mao-Lin, et autres
Publié: (2025)

Contrastive Spectral Rectification: Test-Time Defense towards Zero-shot Adversarial Robustness of CLIP
par: Nie, Sen, et autres
Publié: (2026)

Learning with Unreliability: Fast Few-shot Voxel Radiance Fields with Relative Geometric Consistency
par: Xu, Yingjie, et autres
Publié: (2024)

Enhancing Environmental Robustness in Few-shot Learning via Conditional Representation Learning
par: Guo, Qianyu, et autres
Publié: (2025)

MMCL: Correcting Content Query Distributions for Improved Anti-Overlapping X-Ray Object Detection
par: Li, Mingyuan, et autres
Publié: (2024)

TokenCLIP: Token-wise Prompt Learning for Zero-shot Anomaly Detection
par: Zhou, Qihang, et autres
Publié: (2025)

Dynamic Loss Decay based Robust Oriented Object Detection on Remote Sensing Images with Noisy Labels
par: Liu, Guozhang, et autres
Publié: (2024)

Learning Robust 3D Representation from CLIP via Dual Denoising
par: Luo, Shuqing, et autres
Publié: (2024)

DeCLIP: Decoupled Prompting for CLIP-based Multi-Label Class-Incremental Learning
par: Du, Kaile, et autres
Publié: (2025)

Clustered-patch Element Connection for Few-shot Learning
par: Lai, Jinxiang, et autres
Publié: (2023)

GS-CLIP: Zero-shot 3D Anomaly Detection by Geometry-Aware Prompt and Synergistic View Representation Learning
par: Deng, Zehao, et autres
Publié: (2026)

Foster Adaptivity and Balance in Learning with Noisy Labels
par: Sheng, Mengmeng, et autres
Publié: (2024)