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 9976–10000 of 10420 papers

TitleStatusHype
Adversarial Rain Attack and Defensive Deraining for DNN Perception—0
iVPT: Improving Task-relevant Information Sharing in Visual Prompt Tuning by Cross-layer Dynamic Connection—0
J3DAI: A tiny DNN-Based Edge AI Accelerator for 3D-Stacked CMOS Image Sensor—0
Jacobian Descent for Multi-Objective Optimization—0
Digital-SC: Digital Semantic Communication with Adaptive Network Split and Learned Non-Linear Quantization—0
Joint Hierarchical Category Structure Learning and Large-Scale Image Classification—0
Joint Intermodal and Intramodal Label Transfers for Extremely Rare or Unseen Classes—0
Joint Learning of Discriminative Low-dimensional Image Representations Based on Dictionary Learning and Two-layer Orthogonal Projections—0
Joint Learning of Neural Transfer and Architecture Adaptation for Image Recognition—0
Joint Learning of Set Cardinality and State Distribution—0
Joint Projection and Dictionary Learning using Low-rank Regularization and Graph Constraints—0
Joint Sensing and Task-Oriented Communications with Image and Wireless Data Modalities for Dynamic Spectrum Access—0
Joint Source-Channel Coding for Channel-Adaptive Digital Semantic Communications—0
Judge Like a Real Doctor: Dual Teacher Sample Consistency Framework for Semi-supervised Medical Image Classification—0
Just Leaf It: Accelerating Diffusion Classifiers with Hierarchical Class Pruning—0
Just Noticeable Difference for Machine Perception and Generation of Regularized Adversarial Images with Minimal Perturbation—0
Just Rotate it: Deploying Backdoor Attacks via Rotation Transformation—0
Just rotate it! Uncertainty estimation in closed-source models via multiple queries—0
KAN-Mixers: a new deep learning architecture for image classification—0
KANs for Computer Vision: An Experimental Study—0
KCRC-LCD: Discriminative Kernel Collaborative Representation with Locality Constrained Dictionary for Visual Categorization—0
Keeping Representation Similarity in Finetuning for Medical Image Analysis—0
Keep Learning: Self-supervised Meta-learning for Learning from Inference—0
Keep Your AI-es on the Road: Tackling Distracted Driver Detection with Convolutional Neural Networks and Targeted Data Augmentation—0
Keep your distance: learning dispersed embeddings on S_m—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
5DaViT-HTop 1 Accuracy90.2—Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 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