SOTAVerified

Image Classification

Image Classification is a fundamental task in vision recognition that aims to understand and categorize an image as a whole under a specific label. Unlike object detection, which involves classification and location of multiple objects within an image, image classification typically pertains to single-object images. When the classification becomes highly detailed or reaches instance-level, it is often referred to as image retrieval, which also involves finding similar images in a large database.

Source: Metamorphic Testing for Object Detection Systems

Papers

Showing 90519100 of 10420 papers

TitleStatusHype
Exploiting the Full Capacity of Deep Neural Networks while Avoiding Overfitting by Targeted Sparsity Regularization0
Exploiting the relationship between visual and textual features in social networks for image classification with zero-shot deep learning0
Exploiting Web Images for Dataset Construction: A Domain Robust Approach0
Detached Error Feedback for Distributed SGD with Random Sparsification0
Exploration of Multi-Scale Image Fusion Systems in Intelligent Medical Image Analysis0
Exploration of Noise Strategies in Semi-supervised Named Entity Classification0
Explore the Effect of Data Selection on Poison Efficiency in Backdoor Attacks0
Explore the Knowledge contained in Network Weights to Obtain Sparse Neural Networks0
Explore the Power of Dropout on Few-shot Learning0
Exploring Adversarial Attacks against Latent Diffusion Model from the Perspective of Adversarial Transferability0
Exploring Camera Encoder Designs for Autonomous Driving Perception0
Exploring Category-correlated Feature for Few-shot Image Classification0
Exploring Cross-Domain Pretrained Model for Hyperspectral Image Classification0
Exploring Data Augmentations on Self-/Semi-/Fully- Supervised Pre-trained Models0
Exploring Deep Learning Methods for Classification of SAR Images: Towards NextGen Convolutions via Transformers0
Exploring Effects of Hyperdimensional Vectors for Tsetlin Machines0
Exploring Emerging Trends and Research Opportunities in Visual Place Recognition0
Exploring Explainability in Video Action Recognition0
Exploring Explainability Methods for Graph Neural Networks0
Exploring Feature Reuse in DenseNet Architectures0
Exploring Low-Resource Medical Image Classification with Weakly Supervised Prompt Learning0
Exploring Modality Guidance to Enhance VFM-based Feature Fusion for UDA in 3D Semantic Segmentation0
Exploring Regions of Interest: Visualizing Histological Image Classification for Breast Cancer using Deep Learning0
Exploring Secure Machine Learning Through Payload Injection and FGSM Attacks on ResNet-500
Exploring Structural Nonlinearity in Binary Polariton-Based Neuromorphic Architectures0
Exploring Target Driven Image Classification0
Exploring Temporal Differences in 3D Convolutional Neural Networks0
Exploring the Boundaries of On-Device Inference: When Tiny Falls Short, Go Hierarchical0
Exploring the cloud of feature interaction scores in a Rashomon set0
Exploring the Deep Feature Space of a Cell Classification Neural Network0
Higher Chest X-ray Resolution Improves Classification Performance0
Exploring the Integration of Key-Value Attention Into Pure and Hybrid Transformers for Semantic Segmentation0
Exploring the Sharpened Cosine Similarity0
Exploring the significance of using perceptually relevant image decolorization method for scene classification0
Exploring the Transferability of a Foundation Model for Fundus Images: Application to Hypertensive Retinopathy0
Exploring the Unexplored: Understanding the Impact of Layer Adjustments on Image Classification0
Exploring the Versatility of Zero-Shot CLIP for Interstitial Lung Disease Classification0
Exploring Visual Prompts for Whole Slide Image Classification with Multiple Instance Learning0
Exposing Image Classifier Shortcuts with Counterfactual Frequency (CoF) Tables0
Computational and Storage Efficient Quadratic Neurons for Deep Neural Networks0
Extended Batch Normalization0
Extending Class Activation Mapping Using Gaussian Receptive Field0
Extensions of regret-minimization algorithm for optimal design0
Extracting Human Attention through Crowdsourced Patch Labeling0
Extracurricular Learning: Knowledge Transfer Beyond Empirical Distribution0
Extrapolation Frameworks in Cognitive Psychology Suitable for Study of Image Classification Models0
Extreme Learning Machines for Attention-based Multiple Instance Learning in Whole-Slide Image Classification0
Extreme Network Compression via Filter Group Approximation0
Extreme Sparse Multinomial Logistic Regression: A Fast and Robust Framework for Hyperspectral Image Classification0
Face Clustering: Representation and Pairwise Constraints0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94Unverified
4DaViT-GTop 1 Accuracy90.4Unverified
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
6DaViT-HTop 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10RevCol-HTop 1 Accuracy90Unverified