:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Rahat, Abdullah Al, Venkateswara, Hemanth
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2412.15358
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Domain Adaptation Using Pseudo Labels
by: Chhabra, Sachin, et al.
Published: (2024)

Label Smoothing++: Enhanced Label Regularization for Training Neural Networks
by: Chhabra, Sachin, et al.
Published: (2025)

Augmenting Continual Learning of Diseases with LLM-Generated Visual Concepts
by: Tan, Jiantao, et al.
Published: (2025)

ConceptScope: Characterizing Dataset Bias via Disentangled Visual Concepts
by: Choi, Jinho, et al.
Published: (2025)

EarthScape: A Multimodal Dataset for Surficial Geologic Mapping and Earth Surface Analysis
by: Massey, Matthew, et al.
Published: (2025)

Augmented Neural Fine-Tuning for Efficient Backdoor Purification
by: Karim, Nazmul, et al.
Published: (2024)

Enhancing Transformers Through Conditioned Embedded Tokens
by: Saratchandran, Hemanth, et al.
Published: (2025)

ChannelExplorer: Exploring Class Separability Through Activation Channel Visualization
by: Zaman, Md Rahat-uz-, et al.
Published: (2025)

ViTmiX: Vision Transformer Explainability Augmented by Mixed Visualization Methods
by: Hogea, Eduard, et al.
Published: (2024)

MergeMix: A Unified Augmentation Paradigm for Visual and Multi-Modal Understanding
by: Jin, Xin, et al.
Published: (2025)

Cut to the Mix: Simple Data Augmentation Outperforms Elaborate Ones in Limited Organ Segmentation Datasets
by: Liu, Chang, et al.
Published: (2026)

Visual Bias and Interpretability in Deep Learning for Dermatological Image Analysis
by: Taufik, Enam Ahmed, et al.
Published: (2025)

SineProject: Machine Unlearning for Stable Vision Language Alignment
by: Garg, Arpit, et al.
Published: (2025)

CusConcept: Customized Visual Concept Decomposition with Diffusion Models
by: Xu, Zhi, et al.
Published: (2024)

ImageSentinel: Protecting Visual Datasets from Unauthorized Retrieval-Augmented Image Generation
by: Luo, Ziyuan, et al.
Published: (2025)

CONCORD: Concept-Informed Diffusion for Dataset Distillation
by: Gu, Jianyang, et al.
Published: (2025)

NiNformer: A Network in Network Transformer with Token Mixing Generated Gating Function
by: Abdullah, Abdullah Nazhat, et al.
Published: (2024)

Skin Lesion Classification Using a Soft Voting Ensemble of Convolutional Neural Networks
by: Shafi, Abdullah Al, et al.
Published: (2025)

DisasterVQA: A Visual Question Answering Benchmark Dataset for Disaster Scenes
by: Al-Mohannadi, Aisha, et al.
Published: (2026)

Weight Conditioning for Smooth Optimization of Neural Networks
by: Saratchandran, Hemanth, et al.
Published: (2024)

Dynamic Class-Aware Active Learning for Unbiased Satellite Image Segmentation
by: Kumar, Gadi Hemanth, et al.
Published: (2026)

Language-Informed Visual Concept Learning
by: Lee, Sharon, et al.
Published: (2023)

Per-Query Visual Concept Learning
by: Malca, Ori, et al.
Published: (2025)

See No Evil: Adversarial Attacks Against Linguistic-Visual Association in Referring Multi-Object Tracking Systems
by: Bouzidi, Halima, et al.
Published: (2025)

USegMix: Unsupervised Segment Mix for Efficient Data Augmentation in Pathology Images
by: Wang, Jiamu, et al.
Published: (2025)

Optimizing Deep Learning for Skin Cancer Classification: A Computationally Efficient CNN with Minimal Accuracy Trade-Off
by: Mamun, Abdullah Al, et al.
Published: (2025)

Annotation-Efficient Task Guidance for Medical Segment Anything
by: Ward, Tyler, et al.
Published: (2024)

DermDiff: Generative Diffusion Model for Mitigating Racial Biases in Dermatology Diagnosis
by: Munia, Nusrat, et al.
Published: (2025)

Prompting Medical Vision-Language Models to Mitigate Diagnosis Bias by Generating Realistic Dermoscopic Images
by: Munia, Nusrat, et al.
Published: (2025)

Improving Brain Disorder Diagnosis with Advanced Brain Function Representation and Kolmogorov-Arnold Networks
by: Ward, Tyler, et al.
Published: (2025)

Visual Superordinate Abstraction for Robust Concept Learning
by: Zheng, Qi, et al.
Published: (2022)

Structured Initialization for Vision Transformers
by: Zheng, Jianqiao, et al.
Published: (2025)

LiteDiff
by: Namjoshi, Ruchir, et al.
Published: (2025)

ConceptMix: A Compositional Image Generation Benchmark with Controllable Difficulty
by: Wu, Xindi, et al.
Published: (2024)

Let's Go Shopping (LGS) -- Web-Scale Image-Text Dataset for Visual Concept Understanding
by: Bai, Yatong, et al.
Published: (2024)

Visual Concept Connectome (VCC): Open World Concept Discovery and their Interlayer Connections in Deep Models
by: Kowal, Matthew, et al.
Published: (2024)

Discovering Fine-Grained Visual-Concept Relations by Disentangled Optimal Transport Concept Bottleneck Models
by: Xie, Yan, et al.
Published: (2025)

Attack-Augmentation Mixing-Contrastive Skeletal Representation Learning
by: Xu, Binqian, et al.
Published: (2023)

Contrastive Pretraining for Visual Concept Explanations of Socioeconomic Outcomes
by: Obadic, Ivica, et al.
Published: (2024)

DCBM: Data-Efficient Visual Concept Bottleneck Models
by: Prasse, Katharina, et al.
Published: (2024)