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 5776–5800 of 10420 papers

TitleStatusHype
Representation Learning by Detecting Incorrect Location EmbeddingsCode0
Is my Driver Observation Model Overconfident? Input-guided Calibration Networks for Reliable and Interpretable Confidence Estimates—0
Knowledge-Free Black-Box Watermark and Ownership Proof for Image Classification Neural Networks—0
Neuronal diversity can improve machine learning for physics and beyondCode0
A Survey of Supernet Optimization and its Applications: Spatial and Temporal Optimization for Neural Architecture Search—0
Does Robustness on ImageNet Transfer to Downstream Tasks?—0
Multimodal Quasi-AutoRegression: Forecasting the visual popularity of new fashion products—0
Exploring Cross-Domain Pretrained Model for Hyperspectral Image Classification—0
Multi-Sample ζ-mixup: Richer, More Realistic Synthetic Samples from a p-Series Interpolant—0
DeepTensor: Low-Rank Tensor Decomposition with Deep Network Priors—0
MixFormer: Mixing Features across Windows and DimensionsCode0
CAIPI in Practice: Towards Explainable Interactive Medical Image Classification—0
Banana Sub-Family Classification and Quality Prediction using Computer Vision—0
Contextual Attention Mechanism, SRGAN Based Inpainting System for Eliminating Interruptions from Images—0
LatentGAN Autoencoder: Learning Disentangled Latent Distribution—0
How stable are Transferability Metrics evaluations?—0
Attribute Prototype Network for Any-Shot Learning—0
Co-Teaching for Unsupervised Domain Adaptation and ExpansionCode0
Interpretable Saliency Maps And Self-Supervised Learning For Generalized Zero Shot Medical Image Classification—0
Revisiting a kNN-based Image Classification System with High-capacity Storage—0
Kernel Extreme Learning Machine Optimized by the Sparrow Search Algorithm for Hyperspectral Image Classification—0
Chordal Sparsity for Lipschitz Constant Estimation of Deep Neural NetworksCode0
Mix-up Self-Supervised Learning for Contrast-agnostic Applications—0
Matching Feature Sets for Few-Shot Image Classification—0
Proper Reuse of Image Classification Features Improves Object Detection—0
Show:102550
← PrevPage 232 of 417Next →
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