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 2301–2325 of 10420 papers

TitleStatusHype
Multi‑camera trajectory matching based on hierarchical clustering and constraintsCode1
Using Logic Programming and Kernel-Grouping for Improving Interpretability of Convolutional Neural Networks—0
Recoverable Privacy-Preserving Image Classification through Noise-like Adversarial ExamplesCode0
WeedCLR: Weed Contrastive Learning through Visual Representations with Class-Optimized Loss in Long-Tailed Datasets—0
SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and GenerationCode1
Monarch Mixer: A Simple Sub-Quadratic GEMM-Based ArchitectureCode2
Image Clustering with External GuidanceCode1
Towards Exploring Fairness in Visual Transformer based Natural and GAN Image Detection SystemsCode0
VeRA: Vector-based Random Matrix Adaptation—0
United We Stand: Using Epoch-wise Agreement of Ensembles to Combat OverfitCode0
Instilling Inductive Biases with SubnetworksCode0
Relearning Forgotten Knowledge: on Forgetting, Overfit and Training-Free Ensembles of DNNs—0
Transparent Anomaly Detection via Concept-based Explanations—0
Soft ascent-descent as a stable and flexible alternative to floodingCode0
Real-Fake: Effective Training Data Synthesis Through Distribution MatchingCode1
A Non-monotonic Smooth Activation Function—0
Prior-Free Continual Learning with Unlabeled Data in the WildCode0
RefConv: Re-parameterized Refocusing Convolution for Powerful ConvNetsCode1
A Survey of Graph and Attention Based Hyperspectral Image Classification Methods for Remote Sensing Data—0
Explore the Effect of Data Selection on Poison Efficiency in Backdoor Attacks—0
Efficient Model-Agnostic Multi-Group Equivariant Networks—0
Plug-and-Play Feature Generation for Few-Shot Medical Image Classification—0
TS-ENAS:Two-Stage Evolution for Cell-based Network Architecture Search—0
Two Sides of The Same Coin: Bridging Deep Equilibrium Models and Neural ODEs via Homotopy ContinuationCode0
MiniGPT-v2: large language model as a unified interface for vision-language multi-task learningCode7
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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