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 3051–3075 of 10420 papers

TitleStatusHype
Accelerating Malware Classification: A Vision Transformer SolutionCode0
Unconditional stability of a recurrent neural circuit implementing divisive normalizationCode0
Deep Hybrid Architecture for Very Low-Resolution Image Classification Using Capsule AttentionCode0
Med-IC: Fusing a Single Layer Involution with Convolutions for Enhanced Medical Image Classification and Segmentation—0
Byzantine-Robust Aggregation for Securing Decentralized Federated LearningCode0
Towards the Mitigation of Confirmation Bias in Semi-supervised Learning: a Debiased Training Perspective—0
DARE: Diverse Visual Question Answering with Robustness Evaluation—0
Let the Quantum Creep In: Designing Quantum Neural Network Models by Gradually Swapping Out Classical ComponentsCode0
SSP-RACL: Classification of Noisy Fundus Images with Self-Supervised Pretraining and Robust Adaptive Credal Loss—0
Accumulator-Aware Post-Training Quantization—0
Decentralized Federated Learning with Gradient Tracking over Time-Varying Directed Networks—0
Explicitly Modeling Pre-Cortical Vision with a Neuro-Inspired Front-End Improves CNN RobustnessCode0
Stochastic Subsampling With Average Pooling—0
An ensemble framework approach of hybrid Quantum convolutional neural networks for classification of breast cancer images—0
Unleashing the Potential of Synthetic Images: A Study on Histopathology Image ClassificationCode0
VLMine: Long-Tail Data Mining with Vision Language Models—0
Critic Loss for Image Classification—0
HydroVision: LiDAR-Guided Hydrometric Prediction with Vision Transformers and Hybrid Graph Learning—0
Margin-bounded Confidence Scores for Out-of-Distribution DetectionCode0
Low-Light Enhancement Effect on Classification and Detection: An Empirical Study—0
Anisotropic Diffusion Probabilistic Model for Imbalanced Image Classification—0
Flat-LoRA: Low-Rank Adaption over a Flat Loss Landscape—0
Cloud Adversarial Example Generation for Remote Sensing Image Classification—0
Recovering Global Data Distribution Locally in Federated Learning—0
Drift to Remember—0
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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