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 90519075 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
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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
5DaViT-HTop 1 Accuracy90.2Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90Unverified