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Image Categorization
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
A novel approach towards the classification of Bone Fracture from Musculoskeletal Radiography images using Attention Based Transfer Learning
Towards Zero-Shot Camera Trap Image Categorization
Exploring Social Media Image Categorization Using Large Models with Different Adaptation Methods: A Case Study on Cultural Nature's Contributions to People
SIM-OFE: Structure Information Mining and Object-aware Feature Enhancement for Fine-Grained Visual Categorization
Text-Guided Mixup Towards Long-Tailed Image Categorization
FungiTastic: A multi-modal dataset and benchmark for image categorization
EIANet: A Novel Domain Adaptation Approach to Maximize Class Distinction with Neural Collapse Principles
Fine-Grained Classification for Poisonous Fungi Identification with Transfer Learning
Novel Class Discovery for Ultra-Fine-Grained Visual Categorization
Data-free Knowledge Distillation for Fine-grained Visual Categorization
Context-Semantic Quality Awareness Network for Fine-Grained Visual Categorization
A challenge in A(G)I, cybernetics revived in the Ouroboros Model as one algorithm for all thinking
Finer: Investigating and Enhancing Fine-Grained Visual Concept Recognition in Large Vision Language Models
Foveated Retinotopy Improves Classification and Localization in CNNs
ViTree: Single-path Neural Tree for Step-wise Interpretable Fine-grained Visual Categorization
Cross-Level Multi-Instance Distillation for Self-Supervised Fine-Grained Visual Categorization
On the Image-Based Detection of Tomato and Corn leaves Diseases : An in-depth comparative experiments
Learning Contrastive Self-Distillation for Ultra-Fine-Grained Visual Categorization Targeting Limited Samples
Detail Reinforcement Diffusion Model: Augmentation Fine-Grained Visual Categorization in Few-Shot Conditions
Evaluating the Reliability of CNN Models on Classifying Traffic and Road Signs using LIME
Spatial encoding of BOLD fMRI time series for categorizing static images across visual datasets: A pilot study on human vision
Coping with Change: Learning Invariant and Minimum Sufficient Representations for Fine-Grained Visual Categorization
Concept Drift and Long-Tailed Distribution in Fine-Grained Visual Categorization: Benchmark and Method
Incremental Generalized Category Discovery
Cross-layer Attention Network for Fine-grained Visual Categorization
SR-GNN: Spatial Relation-aware Graph Neural Network for Fine-Grained Image Categorization
SIM-Trans: Structure Information Modeling Transformer for Fine-grained Visual Categorization
Predicting skull fractures via CNN with classification algorithms
Exploring Fine-Grained Audiovisual Categorization with the SSW60 Dataset
CDNet: Contrastive Disentangled Network for Fine-Grained Image Categorization of Ocular B-Scan Ultrasound
Learning an Adaptation Function to Assess Image Visual Similarities
On the Eigenvalues of Global Covariance Pooling for Fine-grained Visual Recognition
Ultrafast Image Categorization in Biology and Neural Models
Dual Cross-Attention Learning for Fine-Grained Visual Categorization and Object Re-Identification
R2-Trans:Fine-Grained Visual Categorization with Redundancy Reduction
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