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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3276–3300 of 10420 papers

TitleStatusHype
DEPICT: Diffusion-Enabled Permutation Importance for Image Classification Tasks—0
EmoCAM: Toward Understanding What Drives CNN-based Emotion Recognition—0
CoAPT: Context Attribute words for Prompt Tuning—0
Nutrispace: A novel color space to enhance deep learning based early detection of cucurbits nutritional deficiency—0
Addressing Imbalance for Class Incremental Learning in Medical Image Classification—0
Differential Privacy Mechanisms in Neural Tangent Kernel Regression—0
CycleMix: Mixing Source Domains for Domain Generalization in Style-Dependent DataCode0
Toward INT4 Fixed-Point Training via Exploring Quantization Error for Gradients—0
ColorMAE: Exploring data-independent masking strategies in Masked AutoEncodersCode0
LookupViT: Compressing visual information to a limited number of tokens—0
Benchmarking Robust Self-Supervised Learning Across Diverse Downstream TasksCode0
Adaptive Cascading Network for Continual Test-Time AdaptationCode0
Non-parametric regularization for class imbalance federated medical image classificationCode0
FETCH: A Memory-Efficient Replay Approach for Continual Learning in Image Classification—0
Probing the Efficacy of Federated Parameter-Efficient Fine-Tuning of Vision Transformers for Medical Image Classification—0
A Closer Look at Benchmarking Self-Supervised Pre-training with Image Classification—0
Siamese Transformer Networks for Few-shot Image Classification—0
Generalized Coverage for More Robust Low-Budget Active Learning—0
PADRe: A Unifying Polynomial Attention Drop-in Replacement for Efficient Vision Transformer—0
Anticipating Future Object Compositions without Forgetting—0
Improving Hyperbolic Representations via Gromov-Wasserstein Regularization—0
Employing Sentence Space Embedding for Classification of Data Stream from Fake News DomainCode0
Pathology-knowledge Enhanced Multi-instance Prompt Learning for Few-shot Whole Slide Image Classification—0
Backdoor Attacks against Image-to-Image Networks—0
GeoMix: Towards Geometry-Aware Data AugmentationCode0
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All datasetsImageNetCIFAR-10CIFAR-100STL-10ObjectNetMNISTSVHNiNaturalist 2018ImageNet ReaLFlowers-102Clothing1Mmini WebVision 1.0

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91—Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98—Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94—Unverified
4DaViT-GTop 1 Accuracy90.4—Unverified
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2—Unverified
6DaViT-HTop 1 Accuracy90.2—Unverified
7SwinV2-GTop 1 Accuracy90.17—Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1—Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05—Unverified
10RevCol-HTop 1 Accuracy90—Unverified