Cover Image

Peter Parker or Spiderman? Disambiguating Multiple Class Labels

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mummani, Nuthan, Ketha, Simran, Ramaswamy, Venkatakrishnan
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Decoding Generalization from Memorization in Deep Neural Networks
by: Ketha, Simran, et al.
Published: (2025)

On the Dynamics & Transferability of Latent Generalization during Memorization
by: Ketha, Simran, et al.
Published: (2026)

Ukrainian Visual Word Sense Disambiguation Benchmark
by: Laba, Yurii, et al.
Published: (2026)

L3A: Label-Augmented Analytic Adaptation for Multi-Label Class Incremental Learning
by: Zhang, Xiang, et al.
Published: (2025)

Sign Spotting Disambiguation using Large Language Models
by: Low, JianHe, et al.
Published: (2025)

Less is more: Summarizing Patch Tokens for efficient Multi-Label Class-Incremental Learning
by: De Min, Thomas, et al.
Published: (2024)

Dual-View Alignment Learning with Hierarchical-Prompt for Class-Imbalance Multi-Label Classification
by: Huang, Sheng, et al.
Published: (2025)

Label-free Concept Based Multiple Instance Learning for Gigapixel Histopathology
by: Sun, Susu, et al.
Published: (2025)

3D Weakly Supervised Semantic Segmentation via Class-Aware and Geometry-Guided Pseudo-Label Refinement
by: Xu, Xiaoxu, et al.
Published: (2025)

Free Performance Gain from Mixing Multiple Partially Labeled Samples in Multi-label Image Classification
by: Chong, Chak Fong, et al.
Published: (2024)

MCANet: A Multi-Scale Class-Specific Attention Network for Multi-Label Post-Hurricane Damage Assessment using UAV Imagery
by: Liu, Zhangding, et al.
Published: (2025)

Embracing Biased Transition Matrices for Complementary-Label Learning with Many Classes
by: Mai, Tan-Ha, et al.
Published: (2026)

It's a Feature, Not a Bug: Measuring Creative Fluidity in Image Generators
by: Ramaswamy, Aditi, et al.
Published: (2024)

Label Dropout: Improved Deep Learning Echocardiography Segmentation Using Multiple Datasets With Domain Shift and Partial Labelling
by: Islam, Iman, et al.
Published: (2024)

Label Sharing Incremental Learning Framework for Independent Multi-Label Segmentation Tasks
by: Anand, Deepa, et al.
Published: (2024)

Learning with Instance-Dependent Noisy Labels by Anchor Hallucination and Hard Sample Label Correction
by: Huang, Po-Hsuan, et al.
Published: (2024)

HELM: Hierarchical and Explicit Label Modeling with Graph Learning for Multi-Label Image Classification
by: Stoimchev, Marjan, et al.
Published: (2026)

Label-Augmented Dataset Distillation
by: Kang, Seoungyoon, et al.
Published: (2024)

Weak Labeling for Cropland Mapping in Africa
by: Hacheme, Gilles Quentin, et al.
Published: (2024)

Pseudo Labelling for Enhanced Masked Autoencoders
by: Nandam, Srinivasa Rao, et al.
Published: (2024)

ALPI: Auto-Labeller with Proxy Injection for 3D Object Detection using 2D Labels Only
by: Lahlali, Saad, et al.
Published: (2024)

Unlocking Robust Semantic Segmentation Performance via Label-only Elastic Deformations against Implicit Label Noise
by: Kim, Yechan, et al.
Published: (2025)

Federated Class-Incremental Learning with Prompting
by: Luo, Xin, et al.
Published: (2023)

Generalized Class Discovery in Instance Segmentation
by: Hoang, Cuong Manh, et al.
Published: (2025)

Combating Semantic Contamination in Learning with Label Noise
by: Fan, Wenxiao, et al.
Published: (2024)

Noisy Label Processing for Classification: A Survey
by: Li, Mengting, et al.
Published: (2024)

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

Metric-Guided Synthesis of Class Activation Mapping
by: Luque-Cerpa, Alejandro, et al.
Published: (2025)

Temporal Label Hierachical Network for Compound Emotion Recognition
by: Li, Sunan, et al.
Published: (2024)

Replay Consolidation with Label Propagation for Continual Object Detection
by: De Monte, Riccardo, et al.
Published: (2024)

Multi-Label Classification Framework for Hurricane Damage Assessment
by: Liu, Zhangding, et al.
Published: (2025)

No Labels, No Problem: Training Visual Reasoners with Multimodal Verifiers
by: Marsili, Damiano, et al.
Published: (2025)

Hierarchical, Interpretable, Label-Free Concept Bottleneck Model
by: Xie, Haodong, et al.
Published: (2026)

ALF: Adaptive Label Finetuning for Scene Graph Generation
by: Chen, Qishen, et al.
Published: (2023)

Instance-wise Uncertainty for Class Imbalance in Semantic Segmentation
by: Almeida, Luís, et al.
Published: (2024)

Improving Detection of Person Class Using Dense Pooling
by: Ahmad, Nouman
Published: (2024)

PANDAS: Prototype-based Novel Class Discovery and Detection
by: Hayes, Tyler L., et al.
Published: (2024)

On Train-Test Class Overlap and Detection for Image Retrieval
by: Song, Chull Hwan, et al.
Published: (2024)

ACIL: Active Class Incremental Learning for Image Classification
by: Bhattacharya, Aditya R., et al.
Published: (2026)

Discriminative Class Tokens for Text-to-Image Diffusion Models
by: Schwartz, Idan, et al.
Published: (2023)