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 2001–2025 of 10420 papers

TitleStatusHype
This Looks Like That... Does it? Shortcomings of Latent Space Prototype Interpretability in Deep NetworksCode1
Hard-Attention for Scalable Image ClassificationCode1
Consistency-based Active Learning for Object DetectionCode1
TinyMIM: An Empirical Study of Distilling MIM Pre-trained ModelsCode1
HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical ImagesCode1
Harmonic Convolutional Networks based on Discrete Cosine TransformCode1
Image and Text fusion for UPMC Food-101 \ BERT and CNNsCode1
HATNet: An End-to-End Holistic Attention Network for Diagnosis of Breast Biopsy ImagesCode1
Harnessing the power of longitudinal medical imaging for eye disease prognosis using Transformer-based sequence modelingCode1
TokenLearner: What Can 8 Learned Tokens Do for Images and Videos?Code1
Image Difference Captioning with Pre-training and Contrastive LearningCode1
Hyperspectral Image Classification-Traditional to Deep Models: A Survey for Future ProspectsCode1
Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-Constrained Edge Computing SystemsCode1
Topological Structure and Semantic Information Transfer Network for Cross-Scene Hyperspectral Image ClassificationCode1
A Fast Knowledge Distillation Framework for Visual RecognitionCode1
HetSeq: Distributed GPU Training on Heterogeneous InfrastructureCode1
Heuristic Hyperparameter Optimization for Convolutional Neural Networks using Genetic AlgorithmCode1
Anytime Dense Prediction with Confidence AdaptivityCode1
Counterfactual Explanations for Medical Image Classification and Regression using Diffusion AutoencoderCode1
Hierarchical Image Classification using Entailment Cone EmbeddingsCode1
Compositional Explanations of NeuronsCode1
Towards All-in-one Pre-training via Maximizing Multi-modal Mutual InformationCode1
ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image ClassificationCode1
Hyperspectral Image Classification Using Deep Matrix CapsulesCode1
HyperKAN: Kolmogorov-Arnold Networks make Hyperspectral Image Classificators SmarterCode1
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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